Trinotate 4.0.2-foss-2022b

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), protein domain identification (HMMER/PFAM), protein signal peptide and transmembrane domain prediction (signalP/tmHMM), and leveraging various annotation databases (eggNOG/GO/Kegg 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.

Accessing Trinotate 4.0.2-foss-2022b

To load the module for Trinotate 4.0.2-foss-2022b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b
module load Trinotate/4.0.2-foss-2022b

BEAR Apps Version

2022b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the Trinotate website.

Dependencies

This version of Trinotate has a direct dependency on: BLAST+/2.14.0-gompi-2022b DIAMOND/2.1.8-GCC-12.2.0 eggnog-mapper/2.1.11-foss-2022b foss/2022b HMMER/3.3.2-gompi-2022b Infernal/1.1.4-foss-2022b Perl/5.36.0-GCCcore-12.2.0 PyBioLib/1.1.1691-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0 SAMtools/1.17-GCC-12.2.0 TransDecoder/5.7.1-GCC-12.2.0 Trinity/2.15.1-foss-2022b

Last modified on 2nd February 2024