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pyseer: a comprehensive tool for microbial pangenome-wide association studies

Lees, John A ; Galardini, Marco ; Bentley, Stephen D ; Weiser, Jeffrey N ; Corander, Jukka Stegle, Oliver

Bioinformatics, 2018-12, Vol.34 (24), p.4310-4312 [Periódico revisado por pares]

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Título:
pyseer: a comprehensive tool for microbial pangenome-wide association studies
Autor: Lees, John A ; Galardini, Marco ; Bentley, Stephen D ; Weiser, Jeffrey N ; Corander, Jukka
Stegle, Oliver
Assuntos: Applications Notes
É parte de: Bioinformatics, 2018-12, Vol.34 (24), p.4310-4312
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
The authors wish it to be known that, in their opinion, the John A. Lees and Marco Galardini authors should be regarded as Joint First Authors.
Descrição: Abstract Summary 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. Availability and implementation pyseer is written in python and is freely available at https://github.com/mgalardini/pyseer, or can be installed through pip. Documentation and a tutorial are available at http://pyseer.readthedocs.io. Supplementary information Supplementary data are available at Bioinformatics online.
Editor: England: Oxford University Press
Idioma: Inglês;Norueguês

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