Open AccessBakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification
Author(s) -
Oliver Schwengers,
Lukas Jelonek,
Marius Alfred Dieckmann,
Sebastian Beyvers,
Jochen Blom,
Alexander Goesmann
Publication year - 2021
Publication title -
microbial genomics
Language(s) - English
Resource type - Journals
ISSN - 2057-5858
DOI - 10.1099/mgen.0.000685
Subject(s) - annotation , computer science , json , software , refseq , genome , identification (biology) , genome project , metadata , python (programming language) , metagenomics , workflow , ensembl , bacterial genome size , genbank , database , information retrieval , computational biology , biology , world wide web , genomics , programming language , artificial intelligence , genetics , botany , gene
Command-line annotation software tools have continuously gained popularity compared to centralized online services due to the worldwide increase of sequenced bacterial genomes. However, results of existing command-line software pipelines heavily depend on taxon-specific databases or sufficiently well annotated reference genomes. Here, we introduce Bakta, a new command-line software tool for the robust, taxon-independent, thorough and, nonetheless, fast annotation of bacterial genomes. Bakta conducts a comprehensive annotation workflow including the detection of small proteins taking into account replicon metadata. The annotation of coding sequences is accelerated via an alignment-free sequence identification approach that in addition facilitates the precise assignment of public database cross-references. Annotation results are exported in GFF3 and International Nucleotide Sequence Database Collaboration (INSDC)-compliant flat files, as well as comprehensive JSON files, facilitating automated downstream analysis. We compared Bakta to other rapid contemporary command-line annotation software tools in both targeted and taxonomically broad benchmarks including isolates and metagenomic-assembled genomes. We demonstrated that Bakta outperforms other tools in terms of functional annotations, the assignment of functional categories and database cross-references, whilst providing comparable wall-clock runtimes. Bakta is implemented in Python 3 and runs on MacOS and Linux systems. It is freely available under a GPLv3 license at https://github.com/oschwengers/bakta. An accompanying web version is available at https://bakta.computational.bio.