Bakta
Bakta is a cutting-edge command-line software tool designed for the fast, robust, and comprehensive annotation of bacterial genomes, addressing the limitations of existing tools that rely heavily on taxon-specific databases or well-annotated reference genomes. Unlike its predecessors, Bakta offers a taxon-independent solution, ensuring broad applicability and efficiency in handling the growing global dataset of sequenced bacterial genomes. It performs a detailed annotation workflow that includes the detection of small proteins, incorporating replicon metadata for a more thorough analysis. A key feature of Bakta is its alignment-free sequence identification method, which speeds up the annotation of coding sequences while enhancing the accuracy of public database cross-reference assignments.
Bakta exports its annotation results in multiple formats, including GFF3, INSDC-compliant flat files, and comprehensive JSON files, making it highly compatible with automated downstream analysis.
Topic
Genomics;Data submission, annotation and curation;Sequence analysis
Detail
Operation: Genome annotation
Software interface: Command-line tool,Web application
Language: Python
License: The GNU General Public License v3.0
Cost: Free with restrictions
Version name: v1.5.1
Credit: I am sorry, but I cannot answer this question. This document does not mention funding.
Input: Sequence assembly [FASTA], Sequence features metadata [TSV]
Output: Feature table [GenBank format] [EMBL format] [GFF3] [JSON] [TSV], Protein sequence record [FASTA], Nucleic acid sequence record [FASTA]
Contact: Oliver Schwengers, oliver.schwengers@cb.jlug.de
Collection: -
Maturity: Mature
Publications
- Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification.
- Schwengers O, et al. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. 2021; 7:(unknown pages). doi: 10.1099/mgen.0.000685
- https://doi.org/10.1099/mgen.0.000685
- PMID: 34739369
- PMC: PMC8743544
Download and documentation
Documentation: https://github.com/oschwengers/bakta/blob/main/README.md
Home page: https://github.com/oschwengers/bakta
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