P0467
GenSAS v5.0: Structural and Functional Annotation Using a Web-Based Platform for Model and Non-Model Organisms

Jodi L. Humann , Washington State University, Pullman, WA
Stephen P. Ficklin , Washington State University, Pullman, WA
Taein Lee , Washington State University, Pullman, WA
Chun-Huai Cheng , Washington State University, Pullman, WA
Heidi Hough , Washington State University, Pullman, WA
Sook Jung , Washington State University, Pullman, WA
Jill L. Wegrzyn , Department of Ecology and Evolutionary Biology - University of Connecticut, Storrs, CT
David B. Neale , Dept. Plant Sciences University of California Davis, Davis, CA
Dorrie Main , Washington State University, Pullman, WA
The Genome Sequence Annotation Server v5.0 (GenSAS, www.gensas.org) merges several annotation tools into one, easy-to-use, web-based interface. GenSAS guides researchers through the annotation process from start to finish and GenSAS has integrated JBrowse for viewing of annotation tool results and Apollo for manual annotation, which can be a collaborative project between multiple users. GenSAS now supports the use of RNA-Seq reads from the Illumina platform for training gene prediction programs in addition to genome-specific supporting data files in the GFF3 and FASTA file formats. After adding the genome sequence and supporting evidence files, users proceed through repeat identification and masking, alignments of evidence to the genome sequence, structural annotation and gene prediction, designation or creation of the official gene set for gene model refinement, functional annotation, optional manual curation, and generation of files for publication.
Handouts
  • PAG2017_GenSAS_Poster_final.pdf (833.8 kB)
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