# HG changeset patch # User rnateam # Date 1480447980 18000 # Node ID a56343c142d5ef940f89d9a0d5dea53254d317e3 # Parent 93b90466d5336ef0832b0cd0abe6d113ad88b78b planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/rna_tools/ribotaper/ commit 8e6fdb45c70ba778280df5b222036f3b5c604cdf diff -r 93b90466d533 -r a56343c142d5 readme.rst --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/readme.rst Tue Nov 29 14:33:00 2016 -0500 @@ -0,0 +1,10 @@ +Important notes +---------------- + +- At least 2 cores should be used for running ``ribotaper part 3: ribosome profiling``, therefore please configure **job_conf.xml** accordingly. + +- We ran the RiboTaper analysis on an SGE cluster, using 7 cores and h_vmem 8G. For each dataset, the complete RiboTaper workflow (from the bam files to final results) took ~ 1 day. + +- The current RiboTaper framework is not designed to identify and quantify ORFs on different transcripts. This means the transcript annotation is crucial. + +- Be careful about using scaffolds, both in the genome and GTF files, which may slow the whole pipeline. diff -r 93b90466d533 -r a56343c142d5 ribotaper_part1_create_annotation_files.xml --- a/ribotaper_part1_create_annotation_files.xml Tue Jun 07 17:49:46 2016 -0400 +++ b/ribotaper_part1_create_annotation_files.xml Tue Nov 29 14:33:00 2016 -0500 @@ -1,6 +1,6 @@ - ribotaper + ribotaper @@ -13,9 +13,7 @@ "$ccdsid" "$appris" "annotation_path" - && - tar "czvf" "$output2" @@ -37,7 +35,7 @@ - + @@ -81,12 +79,14 @@ ``Ribotaper part 1`` generates two files: - **start_stops_FAR** in BED format - - **annotation_path** in format of compressed archive + - **annotation_path** in format of zip *Start_stops_FAR* is used as an input for ``ribotaper part 2``. *Annotation_path* is used as an input for ``ribotaper part 3``. + + ]]> 10.1038/nmeth.3688 diff -r 93b90466d533 -r a56343c142d5 ribotaper_part2_create_metaplots.xml --- a/ribotaper_part2_create_metaplots.xml Tue Jun 07 17:49:46 2016 -0400 +++ b/ribotaper_part2_create_metaplots.xml Tue Nov 29 14:33:00 2016 -0500 @@ -1,6 +1,6 @@ - ribotaper + ribotaper diff -r 93b90466d533 -r a56343c142d5 ribotaper_part3_main.xml --- a/ribotaper_part3_main.xml Tue Jun 07 17:49:46 2016 -0400 +++ b/ribotaper_part3_main.xml Tue Nov 29 14:33:00 2016 -0500 @@ -1,6 +1,6 @@ - ribotaper + ribotaper @@ -17,24 +17,19 @@ "$ribo_bam" "$rna_bam" "annotation_path" - "$read_lenghts_ribo1,$read_lenghts_ribo2,$read_lenghts_ribo3" - "$cutoff1,$cutoff2,$cutoff3" + "$read_lenghts_ribo" + "$cutoff" "\${GALAXY_SLOTS:-12}" ]]> - + - - - - - - + + @@ -48,15 +43,9 @@ - + - - - - - - @@ -106,15 +95,6 @@ **ORF categories (length/coverage)**: PDF file containing info about the number of ORFs found, together with their length and coverage per category/annotation. -Important notes ----------------- - - - We ran the RiboTaper analysis on an SGE cluster, using 7 cores and h_vmem 8G. For each dataset, the complete RiboTaper workflow (from the bam files to final results) took ~ 1 day. - - - The current RiboTaper framework is not designed to identify and quantify ORFs on different transcripts. This means the transcript annotation is crucial. - - - Be careful about using scaffolds, both in the genome and GTF files, which may slow the whole pipeline. - ]]> 10.1038/nmeth.3688