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CAFE: a software suite for analysis of paired-sample transposon insertion sequencing data.
Abramova, Anna; Osinska, Adriana; Kunche, Haveela; Burman, Emil; Bengtsson-Palme, Johan.
Afiliación
  • Abramova A; Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden.
  • Osinska A; Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, SE- 40530 Gothenburg, Sweden.
  • Kunche H; Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden.
  • Burman E; Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, SE- 40530 Gothenburg, Sweden.
  • Bengtsson-Palme J; Department of Water Protection Engineering and Environmental Microbiology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-720 Olsztyn, Poland.
Bioinformatics ; 37(1): 121-122, 2021 Apr 09.
Article en En | MEDLINE | ID: mdl-33393985
SUMMARY: Sequencing of transposon insertion libraries is used to determine the relative fitness of individual mutants at a large scale. However, there is a lack of tools for specifically analyzing data from such experiments with paired sample designs. Here, we introduce CAFE-Coefficient-based Analysis of Fitness by read Enrichment-a software package that can analyze data from paired transposon mutant sequencing experiments, generate fitness coefficients for each gene and condition and perform appropriate statistical testing on these fitness coefficients. AVAILABILITY AND IMPLEMENTATION: CAFE is implemented in Perl and R. The source code is freely available for download under the MIT License from https://github.com/bengtssonpalme/cafe and http://microbiology.se/software/cafe/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suecia