BITACORA

BITACORA integrates sequence similarity-based search tools and Perl scripts to annotate and curate gene family members directly from genomic DNA sequences, improving gene family annotation in non-model organisms.


Key Features:

  • Integration of sequence similarity-based tools and Perl scripts: Combines sequence similarity-based search tools with Perl scripts to perform similarity searches and downstream curation.
  • Curative functionality: Identifies and corrects fused, chimeric, partial, or absent gene models in existing annotations.
  • Identification of undetected gene copies: Detects previously undetected gene family copies directly from genomic DNA sequences.
  • Output formats: Generates General Feature Format (GFF) and FASTA files containing curated existing gene models and newly identified gene family members.

Scientific Applications:

  • Large gene family annotation: Enables comprehensive study of large gene families within fragmented or incomplete genome assemblies.
  • Chemosensory gene family analysis: Applied to chemosensory gene families across seven genome sequences, detecting thousands of new chemoreceptors.
  • Annotation benchmarking and evolutionary studies: Improves annotations relative to augustus-ppx and supports evolutionary analyses of gene family diversity.

Methodology:

Uses sequence similarity-based searches and Perl scripts to identify and correct inaccuracies in existing annotations and to detect new gene family copies directly from genomic sequences.

Topics

Details

License:
GPL-3.0
Programming Languages:
Shell, Perl
Added:
11/14/2019
Last Updated:
12/9/2020

Operations

Publications

Vizueta J, Sánchez-Gracia A, Rozas J. BITACORA: A comprehensive tool for the identification and annotation of gene families in genome assemblies. Unknown Journal. 2019. doi:10.1101/593889.

Vizueta J, Sánchez‐Gracia A, Rozas J. <scp>bitacora</scp> : A comprehensive tool for the identification and annotation of gene families in genome assemblies. Molecular Ecology Resources. 2020;20(5):1445-1452. doi:10.1111/1755-0998.13202. PMID:32492257.

PMID: 32492257
Funding: - Comissió Interdepartamental de Recerca i Innovació Tecnològica: 2017SGR1287 - Secretaría de Estado de Investigación, Desarrollo e Innovación: CGL2013‐45211, CGL2016‐75255 - Ministerio de Economía y Competitividad: 4‐068437, BES‐201

Links