# HG changeset patch # User trinity_ctat # Date 1513365150 18000 # Node ID 0c6f8f4e77336eea88df434e2b43d6ca860169fa # Parent a01db6debed542c86cc9b018a64d233490ef3db2 Uploaded diff -r a01db6debed5 -r 0c6f8f4e7733 trinity.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/trinity.xml Fri Dec 15 14:12:30 2017 -0500 @@ -0,0 +1,148 @@ + + + + De novo assembly of RNA-Seq data using Trinity 2.4.0 + + python + subprocess32 + samtools + bzip2 + trinity + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +This instance is running Trinity version 2.4.0 and uses the following command: + + Trinity --max_memory 31G --CPU 4 --seqType seq_type --single singlefile or --left left_file --right right_file + +Define TRINITY_MAX_MEMORY and GALAXY_SLOTS to change the default values for --max_memory and --CPU, respectively. + +.. class:: infomark + +Trinity_, developed at the Broad Institute and the Hebrew University of Jerusalem, represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes. For more information, visit Trinity's wiki page here_. + +.. _Trinity: https://github.com/trinityrnaseq/trinityrnaseq/wiki +.. _here: https://github.com/trinityrnaseq/trinityrnaseq/wiki + + + + 10.1038/nbt.1883 + + +