MiST: rapid, accurate and flexible (core-genome) multi-locus sequence typing (MLST) allele calling from draft genomes

MiST can help to make cgMLST analysis more accessible for integration into local bioinformatics workflows. MiST is available as an open-source Python package under the GPLv3 license at https://github.com/BioinformaticsPlatformWIV-ISP/MiST , and can be installed via Pip or Conda.

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Publication Details

Journal
BMC Genomics
Published
2025-11-14
DOI
https://doi.org/10.1186/s12864-025-12324-z
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
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article

MiST: rapid, accurate and flexible (core-genome) multi-locus sequence typing (MLST) allele calling from draft genomes

Bert Bogaerts, Nancy H. C. Roosens, Kevin Vanneste
BMC Genomics
Genomics and Rare Diseases
article

MiST: rapid, accurate and flexible (core-genome) multi-locus sequence typing (MLST) allele calling from draft genomes

Bert Bogaerts, Nancy H. C. Roosens, Kevin Vanneste
article en

Abstract

MiST can help to make cgMLST analysis more accessible for integration into local bioinformatics workflows. MiST is available as an open-source Python package under the GPLv3 license at https://github.com/BioinformaticsPlatformWIV-ISP/MiST , and can be installed via Pip or Conda.

BMC GenomicsVol. 26(1)
Sciensano (Belgium) (BE)
Openalex Percentile: Top 64%
Genomics and Rare Diseases
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