期刊
BIOINFORMATICS
卷 34, 期 24, 页码 4310-4312出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty539
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资金
- United States Public Health Service [AI038446, AI105168]
- ERC [742158]
- Wellcome [098051]
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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