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Extract and cluster differentially expressed transcripts (version 2.15.1+galaxy0)
Raw counts matrix produced by 'Build expression matrix for a de novo assembly of RNA-Seq data by Trinity' tool
File describing samples and replicates
Generated by 'Differential expression analysis using a Trinity assembly' tool
Default: 2 (meaning 2^(2) or 4-fold
Additional Options
Additional Options 0

Trinity assembles transcript sequences from Illumina RNA-Seq data. This tool extracts the transcripts that are most differentially expressed (most significant FDR and fold-changes), once differential expression analyses have been runned.

Inputs

This tool uses the raw counts matrix produced by 'Build expression matrix for a de novo assembly of RNA-Seq data by Trinity' tool.

You must describe your samples and replicates with a tabular file looking like this:

ConditionA CondA_replicate1
ConditionA CondA_replicate2
ConditionB CondB_replicate1
ConditionB CondB_replicate2
ConditionC CondC_replicate1
ConditionC CondC_replicate2
ConditionC CondC_replicate3

This file can be generated with the 'Describe samples and replicates' tool. It will probably be the same file as used in the tool 'RNASeq samples quality check for transcript quantification' or in the tool 'Differential expression analysis'. The names in column 2 must match the names given in the tool 'Build expression matrix for a de novo assembly of RNA-Seq data by Trinity'.

You must also provide as a data collection the files resulting from the differential expression analysis (outputs of tool 'Differential expression analysis').