PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signals

DOI10.1007/978-3-030-42266-0_9zbMath1500.92077OpenAlexW3014000200MaRDI QIDQ5041139

Johnathan Wong, Alex Sweeten, Mehrdad Mansouri, Cedric Chauve, Reza Miraskarshahi, Sean la, Julius Booth, Matthew Nguyen, Mohsen Katebi, Pedro Feijão, Leonid Chindelevitch, William Hsiao

Publication date: 13 October 2022

Published in: Algorithms for Computational Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-42266-0_9

zbMATH Keywords

microbiologycorrelation clusteringpublic healthbacterial pathogenswhole-genome sequencing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20) Microbiology (92C70)

Uses Software

• BIONJ
• GitHub
• Mash

Cites Work

• Unnamed Item
• Correlation clustering
• On the approximation of correlation clustering and consensus clustering
• Introduction to Information Retrieval
• PRINCE: Accurate approximation of the copy number of tandem repeats
• Solution of a Large-Scale Traveling-Salesman Problem

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