101. pyseer: a comprehensive tool for microbial pangenome-wide association studies
- Author
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Jukka Corander, Stephen D. Bentley, Marco Galardini, John A. Lees, Jeffrey N. Weiser, Helsinki Institute for Information Technology, Jukka Corander / Principal Investigator, Department of Mathematics and Statistics, and Biostatistics Helsinki
- Subjects
0301 basic medicine ,Statistics and Probability ,musculoskeletal diseases ,endocrine system diseases ,Computer science ,Association (object-oriented programming) ,Genome-wide association study ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,111 Mathematics ,Molecular Biology ,Genetic Association Studies ,030304 developmental biology ,computer.programming_language ,Genetic association ,Flexibility (engineering) ,0303 health sciences ,Models, Statistical ,Bacteria ,Extramural ,Genetics and Population Analysis ,Computational Biology ,nutritional and metabolic diseases ,Python (programming language) ,Applications Notes ,Data science ,Computer Science Applications ,Computational Mathematics ,030104 developmental biology ,Computational Theory and Mathematics ,computer ,Software ,030217 neurology & neurosurgery - Abstract
SummaryGenome-wide association studies (GWAS) in microbes face different challenges to eukaryotes and 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 Implementationpyseer 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.Contactjohn.lees@nyumc.org and marco@ebi.ac.ukSupplementary informationSupplementary data are available online.
- Published
- 2018