Mercurial > repos > iuc > schicexplorer_schicclustercompartments
changeset 1:0bc84d7d94d4 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/schicexplorer commit 72e1e90ac05a32dbd6fc675073429c0086048b18"
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--- a/macros.xml Sat Jan 25 04:38:26 2020 -0500 +++ b/macros.xml Tue Mar 10 15:08:15 2020 -0400 @@ -1,6 +1,6 @@ <macros> <token name="@THREADS@">\${GALAXY_SLOTS:-4}</token> - <token name="@WRAPPER_VERSION@">1</token> + <token name="@WRAPPER_VERSION@">4</token> <xml name="requirements"> <requirements> @@ -9,8 +9,8 @@ </requirements> <version_command>@BINARY@ --version</version_command> </xml> - <xml name='matrix_mcooler_macro'> - <param name='matrix_mcooler' type="data" format="mcool" + <xml name='matrix_scooler_macro'> + <param name='matrix_scooler' type="data" format="scool" label="Matrix to compute on"/> </xml> <xml name='matrix_cooler_multiple_macro'> @@ -18,7 +18,7 @@ label="Matricies to compute on" multiple="true"/> </xml> <token name="@ESCAPE_IDENTIFIER_FASTQ@"><![CDATA[re.sub('[^\s\w\.]', '_', str($fastq.element_identifier))]]></token> - <token name="@ESCAPE_IDENTIFIER_MCOOL@"><![CDATA[re.sub('[^\s\w\.]', '_', str($matrix_mcooler.element_identifier))]]></token> + <token name="@ESCAPE_IDENTIFIER_SCOOL@"><![CDATA[re.sub('[^\s\w\.]', '_', str($matrix_scooler.element_identifier))]]></token> <token name="@ESCAPE_IDENTIFIER_M@"><![CDATA[re.sub('[^\s\w\-\.]', '_', str($m.element_identifier))]]></token> <xml name="citations">
--- a/scHicClusterCompartments.xml Sat Jan 25 04:38:26 2020 -0500 +++ b/scHicClusterCompartments.xml Tue Mar 10 15:08:15 2020 -0400 @@ -8,7 +8,7 @@ <command detect_errors="exit_code"><![CDATA[ @BINARY@ - --matrix '$matrix_mcooler' + --matrix '$matrix_scooler' --numberOfClusters $numberOfClusters @@ -41,7 +41,7 @@ ]]></command> <inputs> - <expand macro="matrix_mcooler_macro"/> + <expand macro="matrix_scooler_macro"/> <param name="clusterMethod_selector" type="select" label="Cluster method:"> <option value="kmeans" selected="True">K-means</option> <option value="spectral" >Spectral clustering</option> @@ -73,19 +73,19 @@ </outputs> <tests> <test> - <param name='matrix_mcooler' value='test_matrix.mcool' /> + <param name='matrix_scooler' value='test_matrix.scool' /> <param name='clusterMethod_selector' value='kmeans' /> <param name='numberOfClusters' value='3' /> <output name="outFileName" file="scHicClusterCompartments/cluster_kmeans.txt" ftype="txt" compare="sim_size" delta="4000"/> </test> <test> - <param name='matrix_mcooler' value='test_matrix.mcool' /> + <param name='matrix_scooler' value='test_matrix.scool' /> <param name='clusterMethod_selector' value='spectral' /> <param name='numberOfClusters' value='3' /> <output name="outFileName" file="scHicClusterCompartments/cluster_spectral.txt" ftype="txt" compare="sim_size" delta="4000"/> </test> <test> - <param name='matrix_mcooler' value='test_matrix.mcool' /> + <param name='matrix_scooler' value='test_matrix.scool' /> <param name='clusterMethod_selector' value='kmeans' /> <param name='numberOfClusters' value='3' /> <param name='binarization' value='True'/> @@ -97,7 +97,7 @@ <output name="outFileName" file="scHicClusterCompartments/cluster_kmeans_binarization_norm_histone_track.txt" ftype="txt" compare="sim_size" delta="4000"/> </test> <test> - <param name='matrix_mcooler' value='test_matrix.mcool' /> + <param name='matrix_scooler' value='test_matrix.scool' /> <param name='clusterMethod_selector' value='kmeans' /> <param name='numberOfClusters' value='3' /> <param name='binarization' value='True'/> @@ -116,7 +116,7 @@ scHicClusterCompartments uses kmeans or spectral clustering to associate each cell to a cluster and therefore to its cell cycle. The clustering is applied on dimension reduced data based on the A/B compartments track. This approach reduces the number of dimensions from samples * (number of bins)^2 to samples * (number of bins). -Please consider also the other clustering and dimension reduction approaches of the scHicExplorer suite. They can give you better results, +Please consider also the other clustering and dimension reduction approaches of the scHicExplorer suite such as `scHicCluster`, `scHicClusterMinHash` and `scHicClusterSVL`. They can give you better results, can be faster or less memory demanding. For more information about scHiCExplorer please consider our documentation on readthedocs.io_
--- a/test-data/scHicQualityControl/qc_report.txt Sat Jan 25 04:38:26 2020 -0500 +++ b/test-data/scHicQualityControl/qc_report.txt Tue Mar 10 15:08:15 2020 -0400 @@ -1,6 +1,6 @@ -# QC report for single-cell Hi-C data generated by scHiCExplorer 1-dev +# QC report for single-cell Hi-C data generated by scHiCExplorer 4 scHi-C sample contained 20 cells: Number of removed matrices containing bad chromosomes 0 -Number of removed matrices due to low read coverage (< 100000): 8 +Number of removed matrices due to low read coverage (< 100000): 10 Number of removed matrices due to too many zero bins (< 0.001 density, within 30000000 relative genomic distance): 0 -12 samples passed the quality control. Please consider matrices with a low read coverage may be the matrices with a low density and overlap therefore. \ No newline at end of file +10 samples passed the quality control. Please consider matrices with a low read coverage may be the matrices with a low density and overlap therefore. \ No newline at end of file