Supporting data for "Genome Annotation Generator: A simple tool for generating and correcting WGS annotation tables for NCBI submission"

Dataset type: Software, Genomic
Data released on June 07, 2017

Geib SM; Hall B; Derego T; Bremer FT; Cannoles K; Sim SB (2017): Supporting data for "Genome Annotation Generator: A simple tool for generating and correcting WGS annotation tables for NCBI submission" GigaScience Database. http://dx.doi.org/10.5524/100308

DOI10.5524/100308

One of the most overlooked, yet critical components of a whole genome sequencing project is the submission and curation of the data to a genomic repository, most commonly NCBI. While large genome centers or genome groups have developed software tools for post-annotation assembly filtering, annotation, and conversion into NCBI’s annotation table format, these tools typically require back-end setup and connection to an SQL database and/or some knowledge of programming (Perl, Python) to implement. With whole genome sequencing becoming commonplace, genome sequencing projects are moving away from the genome centers, and into the ecology or biology lab, where much less resources are present to support the process of genome assembly curation. To fill this gap, we developed software to assess, filter, transfer annotations, and convert a draft genome assembly and annotation set into NCBI annotation table (.tbl) format, facilitating submission to NCBI Genome Assembly database. This software has no dependencies, is compatible across platforms, and utilizes a simple command to perform a variety of simple and complex post-analysis, pre-NCBI submission WGS project tasks.
The Genome Annotation Generator is a consistent and user-friendly bioinformatics tool that can be used to generate a .tbl file that is consistent with the NCBI submission pipeline.

Additional details

Read the peer-reviewed publication(s):

Geib, S. M., Hall, B., Derego, T., Bremer, F. T., Cannoles, K., & Sim, S. B. (2018). Genome Annotation Generator: a simple tool for generating and correcting WGS annotation tables for NCBI submission. GigaScience, 7(4). doi:10.1093/gigascience/giy018

Additional information:

https://github.com/genomeannotation/GAG





File NameSample IDData TypeFile FormatSizeRelease Date 
Mixed archivearchive1.73 MB2017-06-06
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Date Action
June 7, 2017 Dataset publish