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Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification

📅 Published: November 5, 2021 👤 Oliver Schwengers, Lukas Jelonek, Marius Alfred Dieckmann et al. 📖 Microbial Genomics 📊 1,317 citations
AI-Generated Summary

Command-line annotation software tools have continuously gained popularity compared to centralized online services due to the worldwide increase of sequenced bacterial genomes. It is freely available under a GPLv3 license at https://github.com/oschwengers/bakta.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 However, results of existing command-line software pipelines heavily depend on taxon-specific databases or sufficiently well annotated reference genomes.
  • 2 Here, we introduce Bakta, a new command-line software tool for the robust, taxon-independent, thorough and, nonetheless, fast annotation of bacterial genomes.
  • 3 Bakta conducts a comprehensive annotation workflow including the detection of small proteins taking into account replicon metadata.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Nov 5, 2021
Journal Microbial Genomics
DOI 10.1099/mgen.0.000685
Citations 1,317
Authors Oliver Schwengers, Lukas Jelonek, Marius Alfred Dieckmann, Sebastian Beyvers, Jochen Blom