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pyseer: a comprehensive tool for microbial pangenome-wide association studies
Author(s) -
John A. Lees,
Marco Galardini,
Stephen D. Bentley,
Jeffrey N. Weiser,
Jukka Corander
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty539
Subject(s) - python (programming language) , genome wide association study , computer science , documentation , r package , flexibility (engineering) , genetic association , association (psychology) , data science , data mining , programming language , biology , statistics , mathematics , genetics , single nucleotide polymorphism , philosophy , epistemology , genotype , gene
Genome-wide association studies (GWAS) in microbes have different challenges to GWAS in eukaryotes. These have been addressed by a number of different methods. pyseer brings these techniques together in one package tailored to microbial GWAS, allows greater flexibility of the input data used, and adds new methods to interpret the association results.

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