Mercurial > repos > iuc > qualimap_counts
changeset 0:e020be4f281b draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/qualimap commit b4d43001cc0caa14d760c347fa1c416929f769b2"
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qualimap_counts.xml Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,442 @@ +<tool id="qualimap_counts" name="QualiMap Counts QC" version="@VERSION@"> + <macros> + <import>qualimap_macros.xml</import> + <xml name="gene_info"> + <conditional name="gene_info"> + <param name="source" type="select" + label="Additional information about genes"> + <option value="">None</option> + <option value="builtin">Built-in gene information for supported species</option> + <option value="custom">Custom gene information</option> + </param> + <when value="" /> + <when value="builtin"> + <param argument="-s" name="species" type="select" + label="Select species"> + <option value="HUMAN">Human</option> + <option value="MOUSE">Mouse</option> + </param> + </when> + <when value="custom"> + <param argument="-i" name="info" type="data" format="tsv" + label="Qualimap compatible gene annotation data" /> + </when> + </conditional> + </xml> + </macros> + <expand macro="requirements" /> + <expand macro="version_command" /> + <command detect_errors="exit_code"><![CDATA[ + @SET_JAVA_OPTS@ && + + ## Inconveniently, metadata.column_names is a long string of + ## comma-separated, sanitized column name representations. + ## The following turns this string into a list of the actual names. + #set $sample_names = [ + s.strip().replace(' ', '_') + for s in $input.metadata.column_names + .replace('__ob__','') + .replace('u__sq__','') + .replace('__sq__','') + .replace('__cb__','') + .split(',') + ][1:] + #if str($analysis.groups).strip(): + #set $groups = [ + v.strip().replace(' ', '_') + for v in str($analysis.groups).split(',') + ] + #else: + #set $groups = ['.'] * (int($input.metadata.columns) - 1) + #end if + #for $col, $sample, $group in zip(range(2, int($input.metadata.columns) + 1), $sample_names, $groups): + printf '%s\t%s\tcounts_data\t%d\n' '${sample}' '${group}' ${col} >> data_spec.txt && + #end for + + ln -s '$input' counts_data && + + qualimap counts + --data data_spec.txt + #if str($analysis.mode) == 'comparison': + --compare + #end if + #if str($analysis.mode) != 'multi_sample': + #if str($analysis.gene_info.source) == 'builtin': + --species ${analysis.gene_info.species} + #elif str($analysis.gene_info.source) == 'custom': + --info ${analysis.info} + #end if + #end if + --threshold $threshold + -outdir results -outformat html && + + #if str($analysis.mode) == 'comparison': + #set $report_name = 'ComparisonReport' + #elif str($analysis.mode) == 'multi_sample': + #set $report_name = 'GlobalReport' + #else: + #set $sample = $sample_names[int($analysis.sample_number) - 1] + ## Qualimap replaces '-' in sample names with '_' for + ## determining file names + #set $report_name = str($sample).replace('-', '_') + 'Report' + #end if + #set $summary_report = None + @MASSAGE_OUTPUT@ + ]]></command> + + <inputs> + <param name="input" type="data" format="tsv" label="Input counts data" /> + <conditional name="analysis"> + <param name="mode" type="select" label="Type of analysis to perform"> + <option value="multi_sample">Report overview stats for all samples</option> + <option value="single_sample">Report feature count stats of a single sample</option> + <option value="comparison">Compare two groups of samples</option> + </param> + <when value="multi_sample"> + <param name="groups" type="hidden" value="" /> + </when> + <when value="single_sample"> + <param name="groups" type="hidden" value="" /> + <param name="sample_number" type="integer" value="1" min="1" + label="Which sample in the input would you like to analyze?" /> + <expand macro="gene_info" /> + </when> + <when value="comparison"> + <param name="groups" type="text" + label="Assign each sample to one of two groups" + help="The 'Comparison' mode currently works for exactly two groups of samples. Enter comma-separated group names - one for each sample. The group names will be assigned to the samples in the order of the sample columns of the counts data."> + <validator type="expression" message="Please specify a comma-separated list of group names. No group name in the list may be blank.">all(v.strip() for v in value.split(','))</validator> + <validator type="expression" message="Please specify a comma-separated list of group names. Only two different group names are allowed.">len(set(v.strip() for v in value.split(','))) == 2</validator> + </param> + <expand macro="gene_info" /> + </when> + </conditional> + <param argument="-k" name="threshold" type="integer" value="5" min="1" + label="Counts threshold" /> + </inputs> + <outputs> + <data name="output_html" format="html" /> + </outputs> + <tests> + <test> + <param name="input" value="mouse_counts_ensemble_1000_6.tsv" ftype="tsv" /> + <conditional name="analysis"> + <param name="mode" value="single_sample" /> + <param name="sample_number" value="3" /> + </conditional> + <assert_command> + <has_text text="results/_GlcN03Report.html" /> + </assert_command> + <output name="output_html"> + <assert_contents> + <has_text text="Qualimap Report: Counts QC" /> + <not_has_text text="#Counts Distribution" /> + <not_has_text text="#Features With Low Counts" /> + <not_has_text text="#Bio Detection" /> + <not_has_text text="#Counts Per Biotype" /> + <not_has_text text="#Length Bias" /> + <not_has_text text="#GC Bias" /> + <not_has_text text="#Counts Density" /> + <not_has_text text="#Scatterplot Matrix" /> + <has_text text="#Saturation" /> + </assert_contents> + </output> + </test> + <test> + <param name="input" value="mouse_counts_ensemble_1000_6.tsv" ftype="tsv" /> + <conditional name="analysis"> + <param name="mode" value="single_sample" /> + <param name="sample_number" value="3" /> + <conditional name="gene_info"> + <param name="source" value="builtin" /> + <param name="species" value="MOUSE" /> + </conditional> + </conditional> + <assert_command> + <has_text text="results/_GlcN03Report.html" /> + </assert_command> + <output name="output_html"> + <assert_contents> + <has_text text="Qualimap Report: Counts QC" /> + <not_has_text text="#Counts Distribution" /> + <not_has_text text="#Features With Low Counts" /> + <has_text text="#Bio Detection" /> + <has_text text="#Counts Per Biotype" /> + <has_text text="#Length Bias" /> + <has_text text="#GC Bias" /> + <not_has_text text="#Counts Density" /> + <not_has_text text="#Scatterplot Matrix" /> + <has_text text="#Saturation" /> + </assert_contents> + </output> + </test> + <test> + <param name="input" value="mouse_counts_ensemble_1000_6.tsv" ftype="tsv" /> + <conditional name="analysis"> + <param name="mode" value="comparison" /> + <param name="groups" value="minus,minus,minus,plus,plus,plus" /> + </conditional> + <output name="output_html"> + <assert_contents> + <has_text text="Qualimap Report: Counts QC" /> + <has_text text="#Counts Distribution" /> + <has_text text="#Features With Low Counts" /> + <not_has_text text="#Bio Detection" /> + <not_has_text text="#Counts Per Biotype" /> + <not_has_text text="#Length Bias" /> + <not_has_text text="#GC Bias" /> + <not_has_text text="#Counts Density" /> + <not_has_text text="#Scatterplot Matrix" /> + <not_has_text text="#Saturation" /> + </assert_contents> + </output> + </test> + <test> + <param name="input" value="mouse_counts_ensemble_1000_6.tsv" ftype="tsv" /> + <conditional name="analysis"> + <param name="mode" value="comparison" /> + <param name="groups" value="minus,minus,minus,plus,plus,plus" /> + <conditional name="gene_info"> + <param name="source" value="builtin" /> + <param name="species" value="MOUSE" /> + </conditional> + </conditional> + <output name="output_html"> + <assert_contents> + <has_text text="Qualimap Report: Counts QC" /> + <has_text text="#Counts Distribution" /> + <has_text text="#Features With Low Counts" /> + <has_text text="#Bio Detection" /> + <not_has_text text="#Counts Per Biotype" /> + <has_text text="#Length Bias" /> + <has_text text="#GC Bias" /> + <not_has_text text="#Counts Density" /> + <not_has_text text="#Scatterplot Matrix" /> + <not_has_text text="#Saturation" /> + </assert_contents> + </output> + </test> + <test> + <param name="input" value="mouse_counts_ensemble_1000_6.tsv" ftype="tsv" /> + <conditional name="analysis"> + <param name="mode" value="multi_sample" /> + </conditional> + <output name="output_html"> + <assert_contents> + <has_text text="Qualimap Report: Counts QC" /> + <has_text text="_GlcN01 ." /> + <has_text text="_GlcN02 ." /> + <has_text text="_GlcN03 ." /> + <has_text text="+GlcN01 ." /> + <has_text text="+GlcN02 ." /> + <has_text text="+GlcN03 ." /> + <has_text text="#input" /> + <has_text text="#Counts Density" /> + <has_text text="#Scatterplot Matrix" /> + <has_text text="#Saturation" /> + <has_text text="#Counts Distribution" /> + <has_text text="#Features With Low Counts" /> + <not_has_text text="#Bio Detection" /> + <not_has_text text="#Counts Per Biotype" /> + <not_has_text text="#Length Bias" /> + <not_has_text text="#GC Bias" /> + </assert_contents> + </output> + </test> + </tests> + <help><![CDATA[ +**What it does** + +In RNA-seq experiments, the reads are usually first mapped to a reference genome. It is assumed that if the number of reads mapping to a certain biological feature of interest (gene, transcript, exon, ...) is sufficient, it can be used as an estimation of the abundance of that feature in the sample and interpreted as the quantification of the expression level of the corresponding region. + +These count data can be utilized for example to assess differential expression between two or more experimental conditions. Before assessing differential expression analysis, researchers should be aware of some potential limitations of RNA-seq data, as for example: + +- Has saturation been reached, or could more features be detected by + increasing the sequencing depth? + +- Which type of features are being detected in the experiment? + +- How good is the quantification of expression in the sample? + +All of these questions can be answered by interpreting the plots generated by +**Qualimap Counts QC**. + + +Input +===== + +The tool accepts tabular input of type `tsv`. It expects gene identifiers in +the first and the counts for different samples in the following column(s). +The first line of the input needs to be a header line starting with `#`, +immediately followed by the name of the gene identifier column, then the sample +names separated by tabs. +So, for example:: + + #GeneID Sample1 Sample2 + +would be a valid header line. + +.. class:: infomark + + The *Counts* output of featureCounts represents nearly valid input for the + tool, but you will have to **replace** the header line to add a leading `#` + and to provide more telling sample names. + + You can **join** the outputs of several featureCounts runs to obtain + multi-sample counts data. + + +Analysis/Report types +--------------------- + +*Report overview stats for all samples* - Generates overview plots of the +counts data across all samples. + +*Report feature count stats of a single sample* - Generates plots with detailed +information about a single sample. + +*Compare two groups of samples* - Lets you compare groups of samples representing different conditions. +This version of Qualimap requires all samples to belong to one of two groups. + + +Parameters +---------- + +*Additional information about genes* (optional) + +Qualimap requires gene annotation data to generate plots (see *Output* section +below) of + +- counts across classes of features +- feature length and GC content bias in the counts data + +, which are available for the single-sample and group comparison reports. + +You can provide the annotation data in the form of: + +- Built-in gene information for supported species + + For convenience, Qualimap provides the Ensembl annotations for certain species (currently Human and Mouse). In order to use these annotations, Ensembl Gene IDs should be used as the feature IDs on the count files (e.g. ENSG00000251282). + +- Custom gene information + + A tabular dataset holding annotations of the features in the counts dataset is + required. It must be in a four-column tab-delimited (`tsv`) format, with the + feature names or IDs in the first column, the group (*e.g.* the biotype from + Ensembl database) in the second column, feature length in the third and feature + GC-content in the last column (see this + `example <http://kokonech.github.io/qualimap/samples/human.ens68.txt>`__). + + **Make sure to use the same feature IDs in the annotation and in the counts dataset!** + + To generate a Qualimap-compatible info file based on an arbitrary GTF annotation and a genome FASTA file, the developers of Qualimap offer a `Python script for the command line <https://bitbucket.org/kokonech/qualimap/src/master/util/createQualimapInfoFile.py?at=master>`__. + +*Counts threshold* + +In order to remove the influence of spurious reads, a feature is considered as +detected if its corresponding number of counts is greater than this threshold. + +By default, the threshold value is set to 5 counts, meaning that features having +less than 5 counts will not be taken into account. + + +Output +====== + +Many of the plots that this tool can produce are created using the NOISeq package. The `NOISeq vignette <http://www.bioconductor.org/packages/release/bioc/vignettes/NOISeq/inst/doc/NOISeq.pdf>`__ contains a lot of useful information about the plots and how to interpret them. Here we provide a short explanation: + + +Plots of overview stats for all samples +--------------------------------------- + +*Counts Density* + +This plot shows density of counts computed from the histogram of log-transformed counts. In order to avoid infinite values in case of zero counts the transformation `log2(expr + 0.5)` is applied, where `expr` is the number of read counts for a given feature. Only log-transformed counts having value greater than 1 are plotted. + +*Scatterplot Matrix* + +The panel shows a scatterplot along with smoothed line (lower panel) and Pearson correlation coefficients (upper panel) for each pair of samples. Plots are generated using log-transformed counts. + +*Saturation* + +This plot provides information about the level of saturation in the samples, so it helps the user to decide if more sequencing is needed and more features could be detected when increasing the number of reads. + +Sequencing depth of each sample (on the x-axis) is plotted against the number of detected features (on the y-axis). Here, “detected features” refers to features with more than k counts, where k is the *Counts threshold* selected by the user. + +The highlighted value is the real sequencing depth of the sample(s). The +expected results at other sequencing depths are simulated based on random +sampling of the original data. + +*Counts Distribution* + +This box plot shows the overall counts distribution of each sample. + +*Features With Low Counts* + +This plot shows the proportion of features with low counts in each sample. Such features are usually less reliable and could be filtered out. In this plot, the bars show the percentage of features within each sample having more than 0 counts per million (CPM), or more than 1, 2, 5 and 10 CPM. + + +Plots of single-sample count statistics +--------------------------------------- + +.. class:: infomark + + Note that most single-sample plots require built-in or custom *additional + information about genes* to be generated. The *Saturation* plot is the only + exception. + +*Saturation* + +Similar to the same plot in the overview of all samples. +The single-sample plot, however, has an additional y-axis (on the right) +showing the number of features expected to be newly detected when increasing +the sequencing depth by one million reads from each indicated sequencing depth +value. + +*Bio Detection* + +This barplot allows the user to know which **kind** of features are being +detected in the chosen sample. The x-axis shows all feature categories listed +in the annotations file. The gray bars are the percentage of features of each group within the reference genome (or transcriptome, etc.). The striped color bars are the percentages of features of each group detected in the sample with regard to the genome. The solid color bars are the percentages that each group represents in the total detected features in the sample. + +*Counts Per Biotype* + +This boxplot shows the distribution of counts of features from each detected +feature clas. + +*Length Bias* + +The plot describes the relationship between the length of the features and +their expression values. + +Feature lengths are divided into bins, and mean expression of features falling into a particular length interval is computed and plotted. A cubic spline regression model is fitted to explain the relation between length and expression. Coefficient of determination (`R^2`) and p-value are shown together with the regression curve. + +*GC Bias* + +The plot describes the relantionship between the GC-content of the features and the expression values. The data for the plot is generated similar to the +*Length Bias* plot. The GC content is divided into bins and the mean expression +of features falling into any given GC interval is computed. The relation between GC-content and expression is investigated using a cubic spline regression model. + + +Plots for comparing two groups of samples +----------------------------------------- + +This mode can generate side-by-side plots of + +- *Counts Distribution*, +- *Features With Low Counts* +- *Bio Detection*, +- *Length Bias* and +- *GC Bias* + +for two groups of samples. + +.. class:: infomark + + Note that the *Bio Detection*, *Length Bias* and *GC Bias* plots can only be + generated when built-in or custom *additional information about genes* is + available. + + ]]></help> + <expand macro="citations"/> +</tool>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qualimap_macros.xml Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,40 @@ +<macros> + <token name="@VERSION@">2.2.2c</token> + + <xml name="requirements"> + <requirements> + <requirement type="package" version="@VERSION@">qualimap</requirement> + <yield /> + </requirements> + </xml> + + <xml name="version_command"> + <version_command>qualimap --help | grep 'QualiMap v.' | cut -d '.' -f 2-</version_command> + </xml> + + <xml name="citations"> + <citations> + <citation type="doi">10.1093/bioinformatics/btv566</citation> + <citation type="doi">10.1093/bioinformatics/bts503</citation> + <yield /> + </citations> + </xml> + + <token name="@SET_JAVA_OPTS@"> + export JAVA_OPTS="-Djava.awt.headless=true -Xmx\${GALAXY_MEMORY_MB:-1024}m" + </token> + + <token name="@MASSAGE_OUTPUT@"><![CDATA[ + sed 's|images_${report_name}/||g;s|css/||g' results/${report_name}.html > '$output_html' && + mkdir '${output_html.extra_files_path}' && + mv results/css/*.css '${output_html.extra_files_path}' && + mv results/css/*.png '${output_html.extra_files_path}' && + if [ -d results/images_${report_name} ]; then + mv results/images_${report_name}/* '${output_html.extra_files_path}' && + for file in \$(ls -A results/raw_data_${report_name}); do mv "results/raw_data_${report_name}/\$file" `echo "results/\$file" | sed 's/(//;s/)//'`; done + fi + #if $summary_report: + && mv results/$summary_report results/summary_report.txt + #end if + ]]></token> +</macros>
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+435.5 0.0 0.0 +437.5 0.0 0.0 +439.5 0.0 0.0 +441.5 0.0 0.0 +443.5 0.0 0.0 +445.5 0.0 0.0 +447.5 0.0 0.0 +449.5 0.0 0.0 +451.5 0.0 0.0 +453.5 0.0 0.0 +455.5 0.0 0.0 +457.5 0.0 0.0 +459.5 0.0 0.0 +461.5 0.0 0.0 +463.5 0.0 0.0 +465.5 0.0 0.0 +467.5 0.0 0.0 +469.5 0.0 0.0 +471.5 0.0 0.0 +473.5 0.0 0.0 +475.5 0.0 0.0 +477.5 0.0 0.0 +479.5 0.0 0.0 +481.5 0.0 0.0 +483.5 0.0 0.0 +485.5 0.0 0.0 +487.5 0.0 0.0 +489.5 0.0 0.0 +491.5 0.0 0.0 +493.5 0.0 0.0 +495.5 0.0 0.0 +497.5 0.0 0.0 +499.5 0.0 0.0 +501.5 0.0 0.0 +503.5 0.0 0.0 +505.5 0.0 0.0 +507.5 0.0 0.0 +509.5 0.0 0.0 +511.5 0.0 0.0 +513.5 0.0 0.0 +515.5 0.0 0.0 +517.5 0.0 0.0 +519.5 0.0 0.0 +521.5 0.0 0.0 +523.5 0.0 0.0 +525.5 0.0 0.0 +527.5 0.0 0.0 +529.5 0.0 0.0 +531.5 0.0 0.0 +533.5 0.0 0.0 +535.5 0.0 0.0 +537.5 0.0 0.0 +539.5 0.0 0.0 +541.5 0.0 0.0 +543.5 0.0 0.0 +545.5 0.0 0.0 +547.5 0.0 0.0 +549.5 0.0 0.0 +551.5 0.0 0.0 +553.5 0.0 0.0 +555.5 0.0 0.0 +557.5 0.0 0.0 +559.5 0.0 0.0 +561.5 0.0 0.0 +563.5 0.0 0.0 +565.5 0.0 0.0 +567.5 0.0 0.0 +569.5 0.0 0.0 +571.5 0.0 0.0 +573.5 0.0 0.0 +575.5 0.0 0.0 +577.5 0.0 0.0 +579.5 0.0 0.0 +581.5 0.0 0.0 +583.5 0.0 0.0 +585.5 0.0 0.0 +587.5 0.0 0.0 +589.5 0.0 0.0 +591.5 0.0 0.0 +593.5 0.0 0.0 +595.5 0.0 0.0 +597.5 0.0 0.0 +599.5 0.0 0.0 +601.5 0.0 0.0 +603.5 0.0 0.0 +605.5 0.0 0.0 +607.5 0.0 0.0 +609.5 0.0 0.0 +611.5 0.0 0.0 +613.5 0.0 0.0 +615.5 0.0 0.0 +617.5 0.0 0.0 +619.5 0.0 0.0 +621.5 0.0 0.0 +623.5 0.0 0.0 +625.5 0.0 0.0 +627.5 0.0 0.0 +629.5 0.0 0.0 +631.5 0.0 0.0 +633.5 0.0 0.0 +635.5 0.0 0.0 +637.5 0.0 0.0 +639.5 0.0 0.0 +641.5 0.0 0.0 +643.5 0.0 0.0 +645.5 0.0 0.0 +647.5 0.0 0.0 +649.5 0.0 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/coverage_histogram.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,36 @@ +#Coverage Number of genomic locations +0.0 102.0 +1.0 2.0 +2.0 1.0 +3.0 2.0 +4.0 3.0 +5.0 11.0 +6.0 6.0 +8.0 5.0 +9.0 3.0 +10.0 2.0 +11.0 1.0 +12.0 2.0 +13.0 1.0 +14.0 2.0 +16.0 2.0 +17.0 2.0 +18.0 3.0 +21.0 1.0 +22.0 1.0 +23.0 3.0 +24.0 1.0 +25.0 8.0 +26.0 7.0 +27.0 3.0 +28.0 8.0 +29.0 11.0 +30.0 10.0 +31.0 20.0 +32.0 27.0 +33.0 11.0 +34.0 5.0 +35.0 4.0 +36.0 13.0 +37.0 8.0 +38.0 9.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/duplication_rate_histogram.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,51 @@ +#Duplication rate Coverage +1.0 57.0 +2.0 8.0 +3.0 3.0 +4.0 0.0 +5.0 0.0 +6.0 0.0 +7.0 0.0 +8.0 0.0 +9.0 0.0 +10.0 0.0 +11.0 0.0 +12.0 0.0 +13.0 0.0 +14.0 0.0 +15.0 0.0 +16.0 0.0 +17.0 0.0 +18.0 0.0 +19.0 0.0 +20.0 0.0 +21.0 0.0 +22.0 0.0 +23.0 0.0 +24.0 0.0 +25.0 0.0 +26.0 0.0 +27.0 0.0 +28.0 0.0 +29.0 0.0 +30.0 0.0 +31.0 0.0 +32.0 0.0 +33.0 0.0 +34.0 0.0 +35.0 0.0 +36.0 0.0 +37.0 0.0 +38.0 0.0 +39.0 0.0 +40.0 0.0 +41.0 0.0 +42.0 0.0 +43.0 0.0 +44.0 0.0 +45.0 0.0 +46.0 0.0 +47.0 0.0 +48.0 0.0 +49.0 0.0 +50.0 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/features.gtf Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,4 @@ +test_chromosome test gene 1 300 . + . gene_id "GENE1"; gene_name "GENE1"; transcript_id "GENE1_t1"; +test_chromosome test transcript 1 300 . + . gene_id "GENE1"; gene_name "GENE1"; transcript_id "GENE1_t1"; +test_chromosome test exon 1 300 . + . gene_id "GENE1"; transcript_id "GENE1_t1"; exon_number "1"; gene_name "GENE1"; +test_chromosome test CDS 100 250 . + . gene_id "GENE1"; transcript_id "GENE1_t1"; exon_number "1"; gene_name "GENE1";
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/genome_fraction_coverage.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,52 @@ +#Coverage (X) Coverage +1.0 66.0 +2.0 65.33333333333334 +3.0 65.0 +4.0 64.33333333333334 +5.0 63.333333333333336 +6.0 59.66666666666667 +7.0 57.66666666666667 +8.0 57.66666666666667 +9.0 56.00000000000001 +10.0 55.00000000000001 +11.0 54.33333333333334 +12.0 54.00000000000001 +13.0 53.33333333333334 +14.0 53.00000000000001 +15.0 52.33333333333334 +16.0 52.33333333333334 +17.0 51.66666666666668 +18.0 51.000000000000014 +19.0 50.000000000000014 +20.0 50.000000000000014 +21.0 50.000000000000014 +22.0 49.66666666666668 +23.0 49.33333333333334 +24.0 48.33333333333334 +25.0 48.00000000000001 +26.0 45.33333333333334 +27.0 43.00000000000001 +28.0 42.00000000000001 +29.0 39.33333333333334 +30.0 35.66666666666667 +31.0 32.33333333333334 +32.0 25.66666666666667 +33.0 16.66666666666667 +34.0 13.0 +35.0 11.333333333333329 +36.0 10.0 +37.0 5.666666666666671 +38.0 3.0 +39.0 0.0 +40.0 0.0 +41.0 0.0 +42.0 0.0 +43.0 0.0 +44.0 0.0 +45.0 0.0 +46.0 0.0 +47.0 0.0 +48.0 0.0 +49.0 0.0 +50.0 0.0 +51.0 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/genome_results_default.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,122 @@ +BamQC report +----------------------------------- + +>>>>>>> Input + + bam file = /tmp/tmprT4oZK/files/b/1/f/dataset_b1fbaad4-1b5a-4769-8a15-b4cec4de5731.dat + outfile = results/genome_results.txt + + +>>>>>>> Reference + + number of bases = 650 bp + number of contigs = 1 + + +>>>>>>> Globals + + number of windows = 325 + + number of reads = 100 + number of mapped reads = 100 (100%) + number of secondary alignments = 1 + + number of mapped bases = 12,665 bp + number of sequenced bases = 7,465 bp + number of aligned bases = 0 bp + number of duplicated reads (estimated) = 18 + duplication rate = 15.85% + + +>>>>>>> Insert size + + mean insert size = 0 + std insert size = 0 + median insert size = 0 + + +>>>>>>> Mapping quality + + mean mapping quality = 115.8402 + + +>>>>>>> ACTG content + + number of A's = 1,910 bp (25.59%) + number of C's = 1,902 bp (25.48%) + number of T's = 1,497 bp (20.05%) + number of G's = 2,156 bp (28.88%) + number of N's = 0 bp (0%) + + GC percentage = 54.36% + + +>>>>>>> Mismatches and indels + + general error rate = 0.0118 + number of mismatches = 149 + + +>>>>>>> Coverage + + mean coverageData = 19.4846X + std coverageData = 16.5813X + + There is a 45.85% of reference with a coverageData >= 1X + There is a 45.38% of reference with a coverageData >= 2X + There is a 44.92% of reference with a coverageData >= 3X + There is a 44.62% of reference with a coverageData >= 4X + There is a 43.85% of reference with a coverageData >= 5X + There is a 41.85% of reference with a coverageData >= 6X + There is a 40.46% of reference with a coverageData >= 7X + There is a 39.85% of reference with a coverageData >= 8X + There is a 38.77% of reference with a coverageData >= 9X + There is a 38% of reference with a coverageData >= 10X + There is a 37.23% of reference with a coverageData >= 11X + There is a 36.92% of reference with a coverageData >= 12X + There is a 36.46% of reference with a coverageData >= 13X + There is a 36.15% of reference with a coverageData >= 14X + There is a 35.54% of reference with a coverageData >= 15X + There is a 35.23% of reference with a coverageData >= 16X + There is a 34.77% of reference with a coverageData >= 17X + There is a 34% of reference with a coverageData >= 18X + There is a 33.38% of reference with a coverageData >= 19X + There is a 33.38% of reference with a coverageData >= 20X + There is a 33.23% of reference with a coverageData >= 21X + There is a 31.85% of reference with a coverageData >= 22X + There is a 31.54% of reference with a coverageData >= 23X + There is a 30.92% of reference with a coverageData >= 24X + There is a 30.62% of reference with a coverageData >= 25X + There is a 28.62% of reference with a coverageData >= 26X + There is a 27.54% of reference with a coverageData >= 27X + There is a 26.92% of reference with a coverageData >= 28X + There is a 25.23% of reference with a coverageData >= 29X + There is a 23.38% of reference with a coverageData >= 30X + There is a 20.77% of reference with a coverageData >= 31X + There is a 16.77% of reference with a coverageData >= 32X + There is a 12.15% of reference with a coverageData >= 33X + There is a 10.15% of reference with a coverageData >= 34X + There is a 8.62% of reference with a coverageData >= 35X + There is a 7.38% of reference with a coverageData >= 36X + There is a 4% of reference with a coverageData >= 37X + There is a 1.85% of reference with a coverageData >= 38X + There is a 0.31% of reference with a coverageData >= 39X + There is a 0% of reference with a coverageData >= 40X + There is a 0% of reference with a coverageData >= 41X + There is a 0% of reference with a coverageData >= 42X + There is a 0% of reference with a coverageData >= 43X + There is a 0% of reference with a coverageData >= 44X + There is a 0% of reference with a coverageData >= 45X + There is a 0% of reference with a coverageData >= 46X + There is a 0% of reference with a coverageData >= 47X + There is a 0% of reference with a coverageData >= 48X + There is a 0% of reference with a coverageData >= 49X + There is a 0% of reference with a coverageData >= 50X + There is a 0% of reference with a coverageData >= 51X + + +>>>>>>> Coverage per contig + + test_chromosome 650 12665 19.484615384615385 16.581284452141826 + +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/genome_results_inside_features.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,128 @@ +BamQC report +----------------------------------- + +>>>>>>> Input + + bam file = /tmp/tmpB4Sf0A/files/e/d/7/dataset_ed7510d4-c8f3-41fc-8cc1-3b854d9bdf14.dat + outfile = results/genome_results.txt + + +>>>>>>> Reference + + number of bases = 650 bp + number of contigs = 1 + + +>>>>>>> Globals + + number of windows = 325 + + number of reads = 100 + number of mapped reads = 100 (100%) + number of secondary alignments = 1 + + number of mapped bases = 6,451 bp + number of sequenced bases = 5,101 bp + number of aligned bases = 0 bp + number of duplicated reads (estimated) = 14 + duplication rate = 16.18% + + +>>>>>>> Globals inside + + regions size = 300 (46.15%) + number of mapped reads = 82 (82%) + + +>>>>>>> Insert size + + mean insert size = 0 + std insert size = 0 + median insert size = 0 + + +>>>>>>> Mapping quality + + mean mapping quality = 251.3687 + + +>>>>>>> ACTG content + + number of A's = 1,243 bp (24.37%) + number of C's = 1,257 bp (24.64%) + number of T's = 985 bp (19.31%) + number of G's = 1,616 bp (31.68%) + number of N's = 0 bp (0%) + + GC percentage = 56.32% + + +>>>>>>> Mismatches and indels + + general error rate = 0.0211 + number of mismatches = 136 + + +>>>>>>> Coverage + + mean coverageData = 21.5033X + std coverageData = 15.658X + + There is a 66% of reference with a coverageData >= 1X + There is a 65.33% of reference with a coverageData >= 2X + There is a 65% of reference with a coverageData >= 3X + There is a 64.33% of reference with a coverageData >= 4X + There is a 63.33% of reference with a coverageData >= 5X + There is a 59.67% of reference with a coverageData >= 6X + There is a 57.67% of reference with a coverageData >= 7X + There is a 57.67% of reference with a coverageData >= 8X + There is a 56% of reference with a coverageData >= 9X + There is a 55% of reference with a coverageData >= 10X + There is a 54.33% of reference with a coverageData >= 11X + There is a 54% of reference with a coverageData >= 12X + There is a 53.33% of reference with a coverageData >= 13X + There is a 53% of reference with a coverageData >= 14X + There is a 52.33% of reference with a coverageData >= 15X + There is a 52.33% of reference with a coverageData >= 16X + There is a 51.67% of reference with a coverageData >= 17X + There is a 51% of reference with a coverageData >= 18X + There is a 50% of reference with a coverageData >= 19X + There is a 50% of reference with a coverageData >= 20X + There is a 50% of reference with a coverageData >= 21X + There is a 49.67% of reference with a coverageData >= 22X + There is a 49.33% of reference with a coverageData >= 23X + There is a 48.33% of reference with a coverageData >= 24X + There is a 48% of reference with a coverageData >= 25X + There is a 45.33% of reference with a coverageData >= 26X + There is a 43% of reference with a coverageData >= 27X + There is a 42% of reference with a coverageData >= 28X + There is a 39.33% of reference with a coverageData >= 29X + There is a 35.67% of reference with a coverageData >= 30X + There is a 32.33% of reference with a coverageData >= 31X + There is a 25.67% of reference with a coverageData >= 32X + There is a 16.67% of reference with a coverageData >= 33X + There is a 13% of reference with a coverageData >= 34X + There is a 11.33% of reference with a coverageData >= 35X + There is a 10% of reference with a coverageData >= 36X + There is a 5.67% of reference with a coverageData >= 37X + There is a 3% of reference with a coverageData >= 38X + There is a 0% of reference with a coverageData >= 39X + There is a 0% of reference with a coverageData >= 40X + There is a 0% of reference with a coverageData >= 41X + There is a 0% of reference with a coverageData >= 42X + There is a 0% of reference with a coverageData >= 43X + There is a 0% of reference with a coverageData >= 44X + There is a 0% of reference with a coverageData >= 45X + There is a 0% of reference with a coverageData >= 46X + There is a 0% of reference with a coverageData >= 47X + There is a 0% of reference with a coverageData >= 48X + There is a 0% of reference with a coverageData >= 49X + There is a 0% of reference with a coverageData >= 50X + There is a 0% of reference with a coverageData >= 51X + + +>>>>>>> Coverage per contig + + test_chromosome 300 6451 21.503333333333334 15.658011438947867 + +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/genome_results_outside_features.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,128 @@ +BamQC report +----------------------------------- + +>>>>>>> Input + + bam file = /tmp/tmprT4oZK/files/6/4/1/dataset_6416c0ca-3ecd-4273-ae01-22f2ac60965d.dat + outfile = results/outside_results.txt + + +>>>>>>> Reference + + number of bases = 650 bp + number of contigs = 1 + + +>>>>>>> Globals + + number of windows = 325 + + number of reads = 100 + number of mapped reads = 100 (100%) + number of secondary alignments = 1 + + number of mapped bases = 6,214 bp + number of sequenced bases = 2,364 bp + number of aligned bases = 0 bp + number of duplicated reads (estimated) = 4 + duplication rate = 14.29% + + +>>>>>>> Globals outside + + regions size = 350 (53.85%) + number of mapped reads = 18 (18%) + + +>>>>>>> Insert size + + mean insert size = 0 + std insert size = 0 + median insert size = 0 + + +>>>>>>> Mapping quality + + mean mapping quality = 255 + + +>>>>>>> ACTG content + + number of A's = 667 bp (28.21%) + number of C's = 645 bp (27.28%) + number of T's = 512 bp (21.66%) + number of G's = 540 bp (22.84%) + number of N's = 0 bp (0%) + + GC percentage = 50.13% + + +>>>>>>> Mismatches and indels + + general error rate = 0.0021 + number of mismatches = 13 + + +>>>>>>> Coverage + + mean coverageData = 17.7543X + std coverageData = 16.4764X + + There is a 10.58% of reference with a coverageData >= 1X + There is a 10.58% of reference with a coverageData >= 2X + There is a 10.58% of reference with a coverageData >= 3X + There is a 10.58% of reference with a coverageData >= 4X + There is a 10.58% of reference with a coverageData >= 5X + There is a 10.58% of reference with a coverageData >= 6X + There is a 10.58% of reference with a coverageData >= 7X + There is a 10.58% of reference with a coverageData >= 8X + There is a 10.58% of reference with a coverageData >= 9X + There is a 10.58% of reference with a coverageData >= 10X + There is a 10.58% of reference with a coverageData >= 11X + There is a 10.58% of reference with a coverageData >= 12X + There is a 10.58% of reference with a coverageData >= 13X + There is a 10.58% of reference with a coverageData >= 14X + There is a 10.58% of reference with a coverageData >= 15X + There is a 10.58% of reference with a coverageData >= 16X + There is a 10.58% of reference with a coverageData >= 17X + There is a 10.58% of reference with a coverageData >= 18X + There is a 10.58% of reference with a coverageData >= 19X + There is a 10.58% of reference with a coverageData >= 20X + There is a 10.58% of reference with a coverageData >= 21X + There is a 10.58% of reference with a coverageData >= 22X + There is a 10.58% of reference with a coverageData >= 23X + There is a 10.58% of reference with a coverageData >= 24X + There is a 10.58% of reference with a coverageData >= 25X + There is a 10.58% of reference with a coverageData >= 26X + There is a 10.58% of reference with a coverageData >= 27X + There is a 10.58% of reference with a coverageData >= 28X + There is a 10.58% of reference with a coverageData >= 29X + There is a 10.58% of reference with a coverageData >= 30X + There is a 10.58% of reference with a coverageData >= 31X + There is a 10.1% of reference with a coverageData >= 32X + There is a 9.62% of reference with a coverageData >= 33X + There is a 9.13% of reference with a coverageData >= 34X + There is a 7.21% of reference with a coverageData >= 35X + There is a 5.29% of reference with a coverageData >= 36X + There is a 3.37% of reference with a coverageData >= 37X + There is a 1.44% of reference with a coverageData >= 38X + There is a 0.96% of reference with a coverageData >= 39X + There is a 0% of reference with a coverageData >= 40X + There is a 0% of reference with a coverageData >= 41X + There is a 0% of reference with a coverageData >= 42X + There is a 0% of reference with a coverageData >= 43X + There is a 0% of reference with a coverageData >= 44X + There is a 0% of reference with a coverageData >= 45X + There is a 0% of reference with a coverageData >= 46X + There is a 0% of reference with a coverageData >= 47X + There is a 0% of reference with a coverageData >= 48X + There is a 0% of reference with a coverageData >= 49X + There is a 0% of reference with a coverageData >= 50X + There is a 0% of reference with a coverageData >= 51X + + +>>>>>>> Coverage per contig + + test_chromosome 4424 6214 1.404611211573237 3.9981701358234454 + +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mapped_reads_clipping_profile.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,76 @@ +#Read position (bp) Clipping profile +0.0 16.666666666666664 +1.0 5.555555555555555 +2.0 0.0 +3.0 0.0 +4.0 0.0 +5.0 0.0 +6.0 0.0 +7.0 0.0 +8.0 0.0 +9.0 0.0 +10.0 0.0 +11.0 0.0 +12.0 0.0 +13.0 0.0 +14.0 0.0 +15.0 0.0 +16.0 0.0 +17.0 0.0 +18.0 0.0 +19.0 0.0 +20.0 0.0 +21.0 0.0 +22.0 0.0 +23.0 0.0 +24.0 0.0 +25.0 0.0 +26.0 0.0 +27.0 0.0 +28.0 0.0 +29.0 0.0 +30.0 0.0 +31.0 0.0 +32.0 0.0 +33.0 0.0 +34.0 0.0 +35.0 0.0 +36.0 0.0 +37.0 0.0 +38.0 0.0 +39.0 0.0 +40.0 0.0 +41.0 0.0 +42.0 0.0 +43.0 0.0 +44.0 0.0 +45.0 0.0 +46.0 0.0 +47.0 0.0 +48.0 0.0 +49.0 0.0 +50.0 0.0 +51.0 0.0 +52.0 0.0 +53.0 0.0 +54.0 0.0 +55.0 0.0 +56.0 0.0 +57.0 0.0 +58.0 0.0 +59.0 0.0 +60.0 0.0 +61.0 0.0 +62.0 0.0 +63.0 0.0 +64.0 0.0 +65.0 0.0 +66.0 0.0 +67.0 0.0 +68.0 0.0 +69.0 0.0 +70.0 0.0 +71.0 5.555555555555555 +72.0 11.11111111111111 +73.0 16.666666666666664 +74.0 44.44444444444444
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mapped_reads_gc-content_distribution.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,101 @@ +#GC Content (%) Sample HUMAN (hg19) +1.0 0.0 0.0 +2.0 0.0 3.0E-6 +3.0 0.0 3.0E-6 +4.0 0.0 1.0E-5 +5.0 0.0 8.0E-6 +6.0 0.0 1.2000000000000002E-5 +7.0 0.0 6.999999999999999E-6 +8.0 0.0 9.999999999999999E-6 +9.0 0.0 1.6E-5 +10.0 0.0 1.5000000000000002E-5 +11.0 0.0 1.9999999999999998E-5 +12.0 0.0 1.6E-5 +13.0 0.0 1.6E-5 +14.0 0.0 2.4999999999999998E-5 +15.0 0.0 2.2000000000000003E-5 +16.0 0.0 2.6999999999999996E-5 +17.0 0.0 3.3E-5 +18.0 0.0 3.7000000000000005E-5 +19.0 0.0 4.7000000000000004E-5 +20.0 0.0 5.4999999999999995E-5 +21.0 0.0 6.400000000000001E-5 +22.0 0.0 9.3E-5 +23.0 0.0 1.66E-4 +24.0 0.0 3.03E-4 +25.0 0.0 7.059999999999999E-4 +26.0 0.0 0.0016020000000000001 +27.0 0.0 0.0033690000000000005 +28.0 0.0 0.006167999999999999 +29.0 0.0 0.010352 +30.0 0.0 0.015647 +31.0 0.0 0.022148 +32.0 0.0 0.028808 +33.0 0.0 0.035106000000000005 +34.0 0.0 0.041161 +35.0 0.0 0.047408 +36.0 0.0 0.052698999999999996 +37.0 0.0 0.057517000000000006 +38.0 0.0 0.061487999999999994 +39.0 0.0 0.063321 +40.0 0.0 0.060248 +41.0 0.0 0.055508 +42.0 0.0 0.051446000000000006 +43.0 0.0 0.048194 +44.0 0.017857142857142856 0.044423 +45.0 0.0 0.040655000000000004 +46.0 0.03571428571428571 0.03652 +47.0 0.0 0.032315 +48.0 0.017857142857142856 0.028137999999999996 +49.0 0.0 0.02458 +50.0 0.017857142857142856 0.020810000000000002 +51.0 0.0 0.017532 +52.0 0.05357142857142857 0.014506999999999997 +53.0 0.017857142857142856 0.012007 +54.0 0.14285714285714285 0.010018 +55.0 0.08928571428571429 0.008414999999999999 +56.0 0.17857142857142855 0.007258 +57.0 0.03571428571428571 0.006174999999999999 +58.0 0.08928571428571429 0.005363000000000001 +59.0 0.03571428571428571 0.0046159999999999994 +60.0 0.14285714285714285 0.003946 +61.0 0.0 0.0034579999999999993 +62.0 0.03571428571428571 0.002915 +63.0 0.017857142857142856 0.0024610000000000005 +64.0 0.05357142857142857 0.0019950000000000002 +65.0 0.0 0.0016779999999999998 +66.0 0.017857142857142856 0.0013500000000000003 +67.0 0.0 0.001069 +68.0 0.0 8.119999999999999E-4 +69.0 0.0 6.4E-4 +70.0 0.0 5.05E-4 +71.0 0.0 4.0299999999999993E-4 +72.0 0.0 3.2E-4 +73.0 0.0 2.79E-4 +74.0 0.0 2.0700000000000002E-4 +75.0 0.0 2.0099999999999998E-4 +76.0 0.0 1.54E-4 +77.0 0.0 1.12E-4 +78.0 0.0 7.699999999999999E-5 +79.0 0.0 6.3E-5 +80.0 0.0 3.7E-5 +81.0 0.0 2.8000000000000003E-5 +82.0 0.0 1.6E-5 +83.0 0.0 9.0E-6 +84.0 0.0 4.0E-6 +85.0 0.0 0.0 +86.0 0.0 1.0E-6 +87.0 0.0 0.0 +88.0 0.0 0.0 +89.0 0.0 0.0 +90.0 0.0 0.0 +91.0 0.0 0.0 +92.0 0.0 0.0 +93.0 0.0 0.0 +94.0 0.0 0.0 +95.0 0.0 0.0 +96.0 0.0 0.0 +97.0 0.0 0.0 +98.0 0.0 0.0 +99.0 0.0 0.0 +100.0 0.0 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mapped_reads_nucleotide_content.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,76 @@ +# Position (bp) A C G T N +0.0 34.177215189873415 21.518987341772153 26.582278481012654 17.72151898734177 0.0 +1.0 23.456790123456788 33.33333333333333 20.98765432098765 22.22222222222222 0.0 +2.0 25.609756097560975 20.73170731707317 35.36585365853659 18.29268292682927 0.0 +3.0 23.170731707317074 28.04878048780488 28.04878048780488 20.73170731707317 0.0 +4.0 31.70731707317073 26.82926829268293 24.390243902439025 17.073170731707318 0.0 +5.0 25.609756097560975 19.51219512195122 34.146341463414636 20.73170731707317 0.0 +6.0 25.609756097560975 23.170731707317074 34.146341463414636 17.073170731707318 0.0 +7.0 28.04878048780488 21.951219512195124 30.48780487804878 19.51219512195122 0.0 +8.0 23.170731707317074 18.29268292682927 39.02439024390244 19.51219512195122 0.0 +9.0 28.04878048780488 29.268292682926827 24.390243902439025 18.29268292682927 0.0 +10.0 24.390243902439025 23.170731707317074 34.146341463414636 18.29268292682927 0.0 +11.0 19.51219512195122 31.70731707317073 28.04878048780488 20.73170731707317 0.0 +12.0 34.146341463414636 23.170731707317074 28.04878048780488 14.634146341463413 0.0 +13.0 26.82926829268293 18.29268292682927 36.58536585365854 18.29268292682927 0.0 +14.0 24.390243902439025 26.82926829268293 29.268292682926827 19.51219512195122 0.0 +15.0 29.268292682926827 21.951219512195124 28.04878048780488 20.73170731707317 0.0 +16.0 31.70731707317073 25.609756097560975 29.268292682926827 13.414634146341465 0.0 +17.0 15.853658536585366 25.609756097560975 35.36585365853659 23.170731707317074 0.0 +18.0 31.70731707317073 17.073170731707318 31.70731707317073 19.51219512195122 0.0 +19.0 24.390243902439025 29.268292682926827 29.268292682926827 17.073170731707318 0.0 +20.0 21.951219512195124 25.609756097560975 29.268292682926827 23.170731707317074 0.0 +21.0 23.170731707317074 28.04878048780488 36.58536585365854 12.195121951219512 0.0 +22.0 28.04878048780488 30.48780487804878 18.29268292682927 23.170731707317074 0.0 +23.0 23.170731707317074 18.29268292682927 29.268292682926827 29.268292682926827 0.0 +24.0 25.609756097560975 19.51219512195122 35.36585365853659 19.51219512195122 0.0 +25.0 23.170731707317074 26.82926829268293 25.609756097560975 24.390243902439025 0.0 +26.0 21.951219512195124 19.51219512195122 41.46341463414634 17.073170731707318 0.0 +27.0 18.29268292682927 29.268292682926827 35.36585365853659 17.073170731707318 0.0 +28.0 29.268292682926827 30.48780487804878 25.609756097560975 14.634146341463413 0.0 +29.0 17.073170731707318 25.609756097560975 36.58536585365854 20.73170731707317 0.0 +30.0 25.609756097560975 21.951219512195124 32.926829268292686 19.51219512195122 0.0 +31.0 29.268292682926827 23.170731707317074 32.926829268292686 14.634146341463413 0.0 +32.0 29.268292682926827 21.951219512195124 24.390243902439025 24.390243902439025 0.0 +33.0 20.73170731707317 31.70731707317073 26.82926829268293 20.73170731707317 0.0 +34.0 18.29268292682927 20.73170731707317 40.243902439024396 20.73170731707317 0.0 +35.0 37.80487804878049 13.414634146341465 28.04878048780488 20.73170731707317 0.0 +36.0 28.04878048780488 28.04878048780488 28.04878048780488 15.853658536585366 0.0 +37.0 21.951219512195124 20.73170731707317 39.02439024390244 18.29268292682927 0.0 +38.0 34.146341463414636 26.82926829268293 14.634146341463413 24.390243902439025 0.0 +39.0 31.70731707317073 17.073170731707318 26.82926829268293 24.390243902439025 0.0 +40.0 26.82926829268293 24.390243902439025 31.70731707317073 17.073170731707318 0.0 +41.0 30.48780487804878 19.51219512195122 25.609756097560975 24.390243902439025 0.0 +42.0 15.853658536585366 25.609756097560975 34.146341463414636 24.390243902439025 0.0 +43.0 29.268292682926827 24.390243902439025 28.04878048780488 18.29268292682927 0.0 +44.0 26.82926829268293 24.390243902439025 31.70731707317073 17.073170731707318 0.0 +45.0 29.268292682926827 23.170731707317074 29.268292682926827 18.29268292682927 0.0 +46.0 24.390243902439025 23.170731707317074 30.48780487804878 21.951219512195124 0.0 +47.0 25.609756097560975 28.04878048780488 30.48780487804878 15.853658536585366 0.0 +48.0 29.268292682926827 25.609756097560975 29.268292682926827 15.853658536585366 0.0 +49.0 23.170731707317074 23.170731707317074 32.926829268292686 20.73170731707317 0.0 +50.0 24.390243902439025 28.04878048780488 31.70731707317073 15.853658536585366 0.0 +51.0 24.390243902439025 24.390243902439025 31.70731707317073 19.51219512195122 0.0 +52.0 18.29268292682927 26.82926829268293 34.146341463414636 20.73170731707317 0.0 +53.0 26.82926829268293 23.170731707317074 36.58536585365854 13.414634146341465 0.0 +54.0 26.82926829268293 23.170731707317074 31.70731707317073 18.29268292682927 0.0 +55.0 25.609756097560975 26.82926829268293 28.04878048780488 19.51219512195122 0.0 +56.0 10.975609756097562 32.926829268292686 40.243902439024396 15.853658536585366 0.0 +57.0 26.82926829268293 19.51219512195122 29.268292682926827 24.390243902439025 0.0 +58.0 26.82926829268293 30.48780487804878 25.609756097560975 17.073170731707318 0.0 +59.0 21.951219512195124 19.51219512195122 32.926829268292686 25.609756097560975 0.0 +60.0 20.73170731707317 28.04878048780488 32.926829268292686 18.29268292682927 0.0 +61.0 30.48780487804878 19.51219512195122 32.926829268292686 17.073170731707318 0.0 +62.0 24.390243902439025 23.170731707317074 30.48780487804878 21.951219512195124 0.0 +63.0 19.51219512195122 23.170731707317074 29.268292682926827 28.04878048780488 0.0 +64.0 25.609756097560975 31.70731707317073 24.390243902439025 18.29268292682927 0.0 +65.0 18.29268292682927 24.390243902439025 30.48780487804878 26.82926829268293 0.0 +66.0 20.73170731707317 19.51219512195122 36.58536585365854 23.170731707317074 0.0 +67.0 23.170731707317074 31.70731707317073 25.609756097560975 19.51219512195122 0.0 +68.0 15.853658536585366 24.390243902439025 42.68292682926829 17.073170731707318 0.0 +69.0 25.609756097560975 26.82926829268293 29.268292682926827 18.29268292682927 0.0 +70.0 24.390243902439025 34.146341463414636 31.70731707317073 9.75609756097561 0.0 +71.0 19.753086419753085 27.160493827160494 29.629629629629626 23.456790123456788 0.0 +72.0 25.0 37.5 17.5 20.0 0.0 +73.0 24.050632911392405 20.253164556962027 34.177215189873415 21.518987341772153 0.0 +74.0 17.56756756756757 31.08108108108108 28.37837837837838 22.972972972972975 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mapping_quality_across_reference.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,326 @@ +#Position (bp) mapping quality +1.5 0.0 +3.5 0.0 +5.5 0.0 +7.5 0.0 +9.5 0.0 +11.5 0.0 +13.5 0.0 +15.5 0.0 +17.5 0.0 +19.5 0.0 +21.5 0.0 +23.5 0.0 +25.5 0.0 +27.5 0.0 +29.5 0.0 +31.5 0.0 +33.5 0.0 +35.5 0.0 +37.5 0.0 +39.5 0.0 +41.5 0.0 +43.5 0.0 +45.5 0.0 +47.5 0.0 +49.5 0.0 +51.5 0.0 +53.5 255.0 +55.5 255.0 +57.5 255.0 +59.5 255.0 +61.5 255.0 +63.5 255.0 +65.5 255.0 +67.5 255.0 +69.5 255.0 +71.5 255.0 +73.5 255.0 +75.5 255.0 +77.5 255.0 +79.5 255.0 +81.5 255.0 +83.5 255.0 +85.5 255.0 +87.5 255.0 +89.5 255.0 +91.5 236.33333333333334 +93.5 238.2 +95.5 239.72727272727272 +97.5 240.6 +99.5 241.0 +101.5 243.27906976744185 +103.5 244.04347826086956 +105.5 244.27659574468086 +107.5 244.92 +109.5 244.92 +111.5 244.92 +113.5 244.92 +115.5 245.30769230769232 +117.5 245.30769230769232 +119.5 245.30769230769232 +121.5 245.49056603773585 +123.5 246.31034482758622 +125.5 247.125 +127.5 247.36363636363637 +129.5 247.24615384615385 +131.5 247.24615384615385 +133.5 247.125 +135.5 247.47761194029852 +137.5 247.36363636363637 +139.5 247.58823529411765 +141.5 248.0 +143.5 248.28 +145.5 248.3684210526316 +147.5 248.3684210526316 +149.5 248.3684210526316 +151.5 248.3684210526316 +153.5 248.0 +155.5 248.1891891891892 +157.5 248.0958904109589 +159.5 248.0958904109589 +161.5 248.0958904109589 +163.5 247.90140845070422 +165.5 251.54794520547946 +167.5 255.0 +169.5 255.0 +171.5 255.0 +173.5 255.0 +175.5 255.0 +177.5 255.0 +179.5 255.0 +181.5 255.0 +183.5 255.0 +185.5 255.0 +187.5 255.0 +189.5 255.0 +191.5 255.0 +193.5 255.0 +195.5 255.0 +197.5 255.0 +199.5 255.0 +201.5 255.0 +203.5 255.0 +205.5 255.0 +207.5 255.0 +209.5 255.0 +211.5 255.0 +213.5 255.0 +215.5 255.0 +217.5 255.0 +219.5 255.0 +221.5 255.0 +223.5 255.0 +225.5 255.0 +227.5 255.0 +229.5 255.0 +231.5 255.0 +233.5 255.0 +235.5 255.0 +237.5 255.0 +239.5 255.0 +241.5 255.0 +243.5 255.0 +245.5 255.0 +247.5 255.0 +249.5 255.0 +251.5 0.0 +253.5 0.0 +255.5 0.0 +257.5 0.0 +259.5 0.0 +261.5 0.0 +263.5 0.0 +265.5 0.0 +267.5 0.0 +269.5 0.0 +271.5 0.0 +273.5 0.0 +275.5 0.0 +277.5 0.0 +279.5 0.0 +281.5 0.0 +283.5 0.0 +285.5 0.0 +287.5 0.0 +289.5 0.0 +291.5 0.0 +293.5 0.0 +295.5 0.0 +297.5 0.0 +299.5 0.0 +301.5 0.0 +303.5 0.0 +305.5 0.0 +307.5 0.0 +309.5 0.0 +311.5 0.0 +313.5 0.0 +315.5 0.0 +317.5 0.0 +319.5 0.0 +321.5 0.0 +323.5 0.0 +325.5 0.0 +327.5 0.0 +329.5 0.0 +331.5 0.0 +333.5 0.0 +335.5 0.0 +337.5 0.0 +339.5 0.0 +341.5 0.0 +343.5 0.0 +345.5 0.0 +347.5 0.0 +349.5 0.0 +351.5 0.0 +353.5 0.0 +355.5 0.0 +357.5 0.0 +359.5 0.0 +361.5 0.0 +363.5 0.0 +365.5 0.0 +367.5 0.0 +369.5 0.0 +371.5 0.0 +373.5 0.0 +375.5 0.0 +377.5 0.0 +379.5 0.0 +381.5 0.0 +383.5 0.0 +385.5 0.0 +387.5 0.0 +389.5 0.0 +391.5 0.0 +393.5 0.0 +395.5 0.0 +397.5 0.0 +399.5 0.0 +401.5 0.0 +403.5 0.0 +405.5 0.0 +407.5 0.0 +409.5 0.0 +411.5 0.0 +413.5 0.0 +415.5 0.0 +417.5 0.0 +419.5 0.0 +421.5 0.0 +423.5 0.0 +425.5 0.0 +427.5 0.0 +429.5 0.0 +431.5 0.0 +433.5 0.0 +435.5 0.0 +437.5 0.0 +439.5 0.0 +441.5 0.0 +443.5 0.0 +445.5 0.0 +447.5 0.0 +449.5 0.0 +451.5 0.0 +453.5 0.0 +455.5 0.0 +457.5 0.0 +459.5 0.0 +461.5 0.0 +463.5 0.0 +465.5 0.0 +467.5 0.0 +469.5 0.0 +471.5 0.0 +473.5 0.0 +475.5 0.0 +477.5 0.0 +479.5 0.0 +481.5 0.0 +483.5 0.0 +485.5 0.0 +487.5 0.0 +489.5 0.0 +491.5 0.0 +493.5 0.0 +495.5 0.0 +497.5 0.0 +499.5 0.0 +501.5 0.0 +503.5 0.0 +505.5 0.0 +507.5 0.0 +509.5 0.0 +511.5 0.0 +513.5 0.0 +515.5 0.0 +517.5 0.0 +519.5 0.0 +521.5 0.0 +523.5 0.0 +525.5 0.0 +527.5 0.0 +529.5 0.0 +531.5 0.0 +533.5 0.0 +535.5 0.0 +537.5 0.0 +539.5 0.0 +541.5 0.0 +543.5 0.0 +545.5 0.0 +547.5 0.0 +549.5 0.0 +551.5 0.0 +553.5 0.0 +555.5 0.0 +557.5 0.0 +559.5 0.0 +561.5 0.0 +563.5 0.0 +565.5 0.0 +567.5 0.0 +569.5 0.0 +571.5 0.0 +573.5 0.0 +575.5 0.0 +577.5 0.0 +579.5 0.0 +581.5 0.0 +583.5 0.0 +585.5 0.0 +587.5 0.0 +589.5 0.0 +591.5 0.0 +593.5 0.0 +595.5 0.0 +597.5 0.0 +599.5 0.0 +601.5 0.0 +603.5 0.0 +605.5 0.0 +607.5 0.0 +609.5 0.0 +611.5 0.0 +613.5 0.0 +615.5 0.0 +617.5 0.0 +619.5 0.0 +621.5 0.0 +623.5 0.0 +625.5 0.0 +627.5 0.0 +629.5 0.0 +631.5 0.0 +633.5 0.0 +635.5 0.0 +637.5 0.0 +639.5 0.0 +641.5 0.0 +643.5 0.0 +645.5 0.0 +647.5 0.0 +649.5 0.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mapping_quality_histogram.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,13 @@ +#Mapping quality mapping quality +235.0 1.0 +237.0 2.0 +239.0 2.0 +240.0 2.0 +241.0 3.0 +243.0 2.0 +244.0 12.0 +245.0 8.0 +246.0 2.0 +247.0 18.0 +248.0 23.0 +255.0 123.0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mouse_counts_ensemble_1000_6.tsv Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,1000 @@ +#gene -GlcN01 -GlcN02 -GlcN03 +GlcN01 +GlcN02 +GlcN03 +ENSMUSG00000085214 641 542 776 491 791 368 +ENSMUSG00000096956 73 17 47 32 29 63 +ENSMUSG00000021252 2359 1563 2497 2126 2149 1296 +ENSMUSG00000046840 39 165 124 83 144 31 +ENSMUSG00000044062 1 0 3 6 1 0 +ENSMUSG00000007777 292 184 220 228 237 270 +ENSMUSG00000037361 421 300 380 316 393 310 +ENSMUSG00000043644 16 5 7 6 6 8 +ENSMUSG00000024442 812 566 727 569 784 692 +ENSMUSG00000042208 445 273 375 305 410 399 +ENSMUSG00000020831 5 4 5 6 6 3 +ENSMUSG00000025731 1259 942 1113 888 1585 1076 +ENSMUSG00000096232 394 309 396 261 417 306 +ENSMUSG00000055312 53 53 59 43 63 35 +ENSMUSG00000058706 948 581 835 716 927 622 +ENSMUSG00000001418 1440 813 1052 1092 1044 1168 +ENSMUSG00000028608 305 208 262 229 273 225 +ENSMUSG00000089900 3 3 2 7 4 5 +ENSMUSG00000058812 51 30 45 41 32 35 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/per_base_coverage_inside_features.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,199 @@ +#chr pos coverage +test_chromosome 53 1 +test_chromosome 54 1 +test_chromosome 55 2 +test_chromosome 56 3 +test_chromosome 57 3 +test_chromosome 58 4 +test_chromosome 59 4 +test_chromosome 60 4 +test_chromosome 61 5 +test_chromosome 62 5 +test_chromosome 63 5 +test_chromosome 64 5 +test_chromosome 65 5 +test_chromosome 66 5 +test_chromosome 67 5 +test_chromosome 68 5 +test_chromosome 69 5 +test_chromosome 70 5 +test_chromosome 71 5 +test_chromosome 72 6 +test_chromosome 73 6 +test_chromosome 74 6 +test_chromosome 75 6 +test_chromosome 76 6 +test_chromosome 77 6 +test_chromosome 78 8 +test_chromosome 79 8 +test_chromosome 80 8 +test_chromosome 81 8 +test_chromosome 82 8 +test_chromosome 83 9 +test_chromosome 84 9 +test_chromosome 85 9 +test_chromosome 86 10 +test_chromosome 87 10 +test_chromosome 88 11 +test_chromosome 89 12 +test_chromosome 90 12 +test_chromosome 91 13 +test_chromosome 92 14 +test_chromosome 93 14 +test_chromosome 94 16 +test_chromosome 95 16 +test_chromosome 96 17 +test_chromosome 97 17 +test_chromosome 98 18 +test_chromosome 99 18 +test_chromosome 100 18 +test_chromosome 101 21 +test_chromosome 102 22 +test_chromosome 103 23 +test_chromosome 104 23 +test_chromosome 105 23 +test_chromosome 106 24 +test_chromosome 107 25 +test_chromosome 108 25 +test_chromosome 109 25 +test_chromosome 110 25 +test_chromosome 111 25 +test_chromosome 112 25 +test_chromosome 113 25 +test_chromosome 114 25 +test_chromosome 115 26 +test_chromosome 116 26 +test_chromosome 117 26 +test_chromosome 118 26 +test_chromosome 119 26 +test_chromosome 120 26 +test_chromosome 121 26 +test_chromosome 122 27 +test_chromosome 123 29 +test_chromosome 124 29 +test_chromosome 125 32 +test_chromosome 126 32 +test_chromosome 127 33 +test_chromosome 128 33 +test_chromosome 129 33 +test_chromosome 130 32 +test_chromosome 131 32 +test_chromosome 132 33 +test_chromosome 133 32 +test_chromosome 134 32 +test_chromosome 135 34 +test_chromosome 136 33 +test_chromosome 137 33 +test_chromosome 138 33 +test_chromosome 139 34 +test_chromosome 140 34 +test_chromosome 141 35 +test_chromosome 142 37 +test_chromosome 143 37 +test_chromosome 144 38 +test_chromosome 145 38 +test_chromosome 146 38 +test_chromosome 147 38 +test_chromosome 148 38 +test_chromosome 149 38 +test_chromosome 150 38 +test_chromosome 151 38 +test_chromosome 152 38 +test_chromosome 153 36 +test_chromosome 154 36 +test_chromosome 155 37 +test_chromosome 156 37 +test_chromosome 157 37 +test_chromosome 158 36 +test_chromosome 159 36 +test_chromosome 160 37 +test_chromosome 161 36 +test_chromosome 162 37 +test_chromosome 163 36 +test_chromosome 164 35 +test_chromosome 165 37 +test_chromosome 166 36 +test_chromosome 167 36 +test_chromosome 168 36 +test_chromosome 169 34 +test_chromosome 170 36 +test_chromosome 171 36 +test_chromosome 172 36 +test_chromosome 173 35 +test_chromosome 174 35 +test_chromosome 175 36 +test_chromosome 176 33 +test_chromosome 177 32 +test_chromosome 178 32 +test_chromosome 179 32 +test_chromosome 180 32 +test_chromosome 181 32 +test_chromosome 182 31 +test_chromosome 183 31 +test_chromosome 184 32 +test_chromosome 185 32 +test_chromosome 186 32 +test_chromosome 187 32 +test_chromosome 188 32 +test_chromosome 189 32 +test_chromosome 190 31 +test_chromosome 191 31 +test_chromosome 192 31 +test_chromosome 193 31 +test_chromosome 194 32 +test_chromosome 195 32 +test_chromosome 196 32 +test_chromosome 197 32 +test_chromosome 198 30 +test_chromosome 199 29 +test_chromosome 200 28 +test_chromosome 201 31 +test_chromosome 202 30 +test_chromosome 203 29 +test_chromosome 204 30 +test_chromosome 205 31 +test_chromosome 206 31 +test_chromosome 207 31 +test_chromosome 208 32 +test_chromosome 209 31 +test_chromosome 210 31 +test_chromosome 211 31 +test_chromosome 212 31 +test_chromosome 213 31 +test_chromosome 214 31 +test_chromosome 215 31 +test_chromosome 216 30 +test_chromosome 217 28 +test_chromosome 218 28 +test_chromosome 219 27 +test_chromosome 220 27 +test_chromosome 221 28 +test_chromosome 222 28 +test_chromosome 223 28 +test_chromosome 224 28 +test_chromosome 225 29 +test_chromosome 226 29 +test_chromosome 227 30 +test_chromosome 228 30 +test_chromosome 229 31 +test_chromosome 230 30 +test_chromosome 231 31 +test_chromosome 232 32 +test_chromosome 233 33 +test_chromosome 234 34 +test_chromosome 235 33 +test_chromosome 236 33 +test_chromosome 237 32 +test_chromosome 238 32 +test_chromosome 239 32 +test_chromosome 240 30 +test_chromosome 241 30 +test_chromosome 242 29 +test_chromosome 243 31 +test_chromosome 244 32 +test_chromosome 245 30 +test_chromosome 246 29 +test_chromosome 247 29 +test_chromosome 248 29 +test_chromosome 249 29 +test_chromosome 250 28
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/per_base_coverage_outside_features.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,101 @@ +#chr pos coverage +test_chromosome 351 31 +test_chromosome 352 32 +test_chromosome 353 33 +test_chromosome 354 34 +test_chromosome 355 35 +test_chromosome 356 34 +test_chromosome 357 34 +test_chromosome 358 35 +test_chromosome 359 34 +test_chromosome 360 35 +test_chromosome 361 35 +test_chromosome 362 36 +test_chromosome 363 36 +test_chromosome 364 36 +test_chromosome 365 36 +test_chromosome 366 37 +test_chromosome 367 37 +test_chromosome 368 37 +test_chromosome 369 37 +test_chromosome 370 36 +test_chromosome 371 37 +test_chromosome 372 37 +test_chromosome 373 39 +test_chromosome 374 39 +test_chromosome 375 38 +test_chromosome 376 36 +test_chromosome 377 36 +test_chromosome 378 36 +test_chromosome 379 36 +test_chromosome 380 34 +test_chromosome 381 33 +test_chromosome 382 32 +test_chromosome 383 32 +test_chromosome 384 31 +test_chromosome 385 31 +test_chromosome 386 31 +test_chromosome 387 31 +test_chromosome 388 31 +test_chromosome 389 30 +test_chromosome 390 30 +test_chromosome 391 30 +test_chromosome 392 30 +test_chromosome 393 30 +test_chromosome 394 30 +test_chromosome 395 30 +test_chromosome 396 29 +test_chromosome 397 28 +test_chromosome 398 28 +test_chromosome 399 28 +test_chromosome 400 27 +test_chromosome 501 25 +test_chromosome 502 25 +test_chromosome 503 25 +test_chromosome 504 25 +test_chromosome 505 25 +test_chromosome 506 24 +test_chromosome 507 23 +test_chromosome 508 22 +test_chromosome 509 21 +test_chromosome 510 21 +test_chromosome 511 21 +test_chromosome 512 21 +test_chromosome 513 21 +test_chromosome 514 21 +test_chromosome 515 21 +test_chromosome 516 21 +test_chromosome 517 20 +test_chromosome 518 18 +test_chromosome 519 17 +test_chromosome 520 17 +test_chromosome 521 17 +test_chromosome 522 16 +test_chromosome 523 15 +test_chromosome 524 15 +test_chromosome 525 14 +test_chromosome 526 14 +test_chromosome 527 13 +test_chromosome 528 12 +test_chromosome 529 11 +test_chromosome 530 10 +test_chromosome 531 10 +test_chromosome 532 10 +test_chromosome 533 9 +test_chromosome 534 9 +test_chromosome 535 8 +test_chromosome 536 8 +test_chromosome 537 7 +test_chromosome 538 7 +test_chromosome 539 7 +test_chromosome 540 7 +test_chromosome 541 6 +test_chromosome 542 6 +test_chromosome 543 6 +test_chromosome 544 5 +test_chromosome 545 5 +test_chromosome 546 4 +test_chromosome 547 4 +test_chromosome 548 2 +test_chromosome 549 2 +test_chromosome 550 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rnaseq_qc_counts_custom.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,2 @@ +#GeneID try_this +GENE1 45
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rnaseq_qc_results_custom.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,48 @@ +RNA-Seq QC report +----------------------------------- + +>>>>>>> Input + + bam file = /tmp/tmp_CFvEQ/files/000/dataset_49.dat + gff file = /tmp/tmp_CFvEQ/files/000/dataset_2.dat + counting algorithm = proportional + protocol = strand-specific-forward + + +>>>>>>> Reads alignment + + reads aligned (left/right) = 0 / 0 + read pairs aligned = 0 + total alignments = 101 + secondary alignments = 1 + non-unique alignments = 0 + aligned to genes = 46 + ambiguous alignments = 0 + no feature assigned = 55 + not aligned = 0 + + +>>>>>>> Reads genomic origin + + exonic = 46 (45.54%) + intronic = 0 (0%) + intergenic = 55 (54.46%) + overlapping exon = 0 (0%) + + +>>>>>>> Transcript coverage profile + + 5' bias = NaN + 3' bias = NaN + 5'-3' bias = NaN + + +>>>>>>> Junction analysis + + reads at junctions = 53 + + CTTT : 47.17% + CCAC : 47.17% + GCAC : 1.89% + CTAC : 1.89% + GAAT : 1.89%
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rnaseq_qc_results_default.txt Thu Oct 10 17:40:46 2019 -0400 @@ -0,0 +1,47 @@ +RNA-Seq QC report +----------------------------------- + +>>>>>>> Input + + bam file = /tmp/tmp_CFvEQ/files/000/dataset_1.dat + gff file = /tmp/tmp_CFvEQ/files/000/dataset_2.dat + counting algorithm = uniquely-mapped-reads + protocol = non-strand-specific + + +>>>>>>> Reads alignment + + reads aligned = 100 + total alignments = 101 + secondary alignments = 1 + non-unique alignments = 2 + aligned to genes = 54 + ambiguous alignments = 0 + no feature assigned = 45 + not aligned = 0 + SSP estimation (fwd/rev) = 0.59 / 0.41 + + +>>>>>>> Reads genomic origin + + exonic = 54 (54.55%) + intronic = 0 (0%) + intergenic = 45 (45.45%) + overlapping exon = 0 (0%) + + +>>>>>>> Transcript coverage profile + + 5' bias = NaN + 3' bias = NaN + 5'-3' bias = NaN + + +>>>>>>> Junction analysis + + reads at junctions = 52 + + CTTT : 48.08% + CCAC : 48.08% + GCAC : 1.92% + CTAC : 1.92%