Difference between revisions of "Trinity"
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'''hpc-env/6.4''' | '''hpc-env/6.4''' | ||
*'''2.6.6-intel-2018a''' | *'''2.6.6-intel-2018a''' | ||
== Using Trinity == | |||
To use Trinity, you just have to load the corresponding module. | |||
For the newest version, 2.6.6 what is, you have to change the environment first. | |||
ml hpc-env/6.4 | |||
ml 2.6.6-intel-2018a | |||
== Documentation == | == Documentation == | ||
The full documentation can be found [https://github.com/trinityrnaseq/trinityrnaseq/wiki here]. | The full documentation can be found [https://github.com/trinityrnaseq/trinityrnaseq/wiki here]. |
Revision as of 09:34, 16 August 2018
Introduction
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. Briefly, the process works like so:
- Inchworm assembles the RNA-seq data into the unique sequences of transcripts, often generating full-length transcripts for a dominant isoform, but then reports just the unique portions of alternatively spliced transcripts.
- Chrysalis clusters the Inchworm contigs into clusters and constructs complete de Bruijn graphs for each cluster. Each cluster represents the full transcriptonal complexity for a given gene (or sets of genes that share sequences in common). Chrysalis then partitions the full read set among these disjoint graphs.
- Butterfly then processes the individual graphs in parallel, tracing the paths that reads and pairs of reads take within the graph, ultimately reporting full-length transcripts for alternatively spliced isoforms, and teasing apart transcripts that corresponds to paralogous genes.
Installed version
There are currently two version of Trinity installed:
hpc-uniol-env
- 2.2.0
- 2.4.0
hpc-env/6.4
- 2.6.6-intel-2018a
Using Trinity
To use Trinity, you just have to load the corresponding module. For the newest version, 2.6.6 what is, you have to change the environment first.
ml hpc-env/6.4 ml 2.6.6-intel-2018a
Documentation
The full documentation can be found here.