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.