Difference between revisions of "Trinotate"

From UFRC
Jump to navigation Jump to search
(Created page with "Category:SoftwareCategory:Biology {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|trinotate}} |{{#vardefine:url|http://trinotate.github.io/}} <!--CONFIGURATION: OPT...")
 
m (Text replacement - "#uppercase" to "uc")
Line 35: Line 35:
 
-->
 
-->
 
==System Variables==
 
==System Variables==
* HPC_{{#uppercase:{{#var:app}}}}_DIR - installation directory
+
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Revision as of 21:29, 6 December 2019

Description

trinotate website  

Trinotate is a comprehensive annotation suite designed for automatic functional annotation of transcriptomes, particularly de novo assembled transcriptomes, from model or non-model organisms. Trinotate makes use of a number of different well referenced methods for functional annotation including homology search to known sequence data (BLAST+/SwissProt/Uniref90), protein domain identification (HMMER/PFAM), protein signal peptide and transmembrane domain prediction (singalP/tmHMM), and comparison to currently curated annotation databases (EMBL Uniprot eggNOG/GO Pathways databases). All functional annotation data derived from the analysis of transcripts is integrated into a SQLite database which allows fast efficient searching for terms with specific qualities related to a desired scientific hypothesis or a means to create a whole annotation report for a transcriptome.

Required Modules

Serial

  • trinotate

System Variables

  • HPC_TRINOTATE_DIR - installation directory

Additional Information

Additional software included in this module:

  • signalP v4
  • tmhmm v2
  • RNAMMER