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DNAKit

DNAKit: A Comprehensive Toolkit for Efficient DNA Research

PyPI version Bioconda recipe Galaxy wrapper GNU Guix package

DNAKit is a reproducible analysis toolkit that makes DNA and gene operations convenient. It provides:

  1. Data preparation: DNA sequence and annotation file I/O, database downloads and queries, and validation.
  2. Data processing: sequence standardization and editing, transcription and translation, deduplication and clustering, and dataset splitting.
  3. Data analysis: DNA descriptors, representations and fingerprints, sequence and pattern searches, physicochemical and thermodynamic properties, and deep-learning property prediction.
  4. Data evaluation: validity, uniqueness, diversity and novelty, plus similarity, distance, and sequence alignment.
  5. Visualization: sequence text plots, position highlighting, linear and circular DNA maps, and alignment plots.
  6. Large language model tools: provide a Python API, MCP integration, Skills workflows, and a built-in Agent for general-purpose LLM calls and natural-language task execution.

Support and community

GitHub repository: github.com/mapengsen/DNAKit

WeChat community: QR code for the DNAKit WeChat community contact

Cite DNAKit

DNAKit does not yet have a published paper or DOI. The current citation information is maintained in the repository README.md and can be cited as:

DNAKit contributors. DNAKit 0.1.5, 2026.

Citing DNAKit does not replace citations for the algorithms, parameter sets, backends, and reference databases used in an analysis. The relevant methods, papers, databases, and websites are listed on the acknowledgements and primary sources page. Provenance, BackendInfo, ReferenceLibrary, and RunManifest preserve this information in the results.