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Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants.
Garcia, Maxime; Juhos, Szilveszter; Larsson, Malin; Olason, Pall I; Martin, Marcel; Eisfeldt, Jesper; DiLorenzo, Sebastian; Sandgren, Johanna; Díaz De Ståhl, Teresita; Ewels, Philip; Wirta, Valtteri; Nistér, Monica; Käller, Max; Nystedt, Björn.
Afiliación
  • Garcia M; Department of Oncology-Pathology, Karolinska Institutet, J5:30 BioClinicum, Visionsgatan 4, Karolinska University Hospital at Solna, Solna, 17164, Sweden.
  • Juhos S; Department of Oncology-Pathology, Karolinska Institutet, J5:30 BioClinicum, Visionsgatan 4, Karolinska University Hospital at Solna, Solna, 17164, Sweden.
  • Larsson M; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Box 1031, Solna, 17121, Sweden.
  • Olason PI; Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Husargatan 3, Uppsala, 752 37, Sweden.
  • Martin M; Department of Physics, Chemistry and Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Linköping University, Linköping, 58183, Sweden.
  • Eisfeldt J; Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Husargatan 3, Uppsala, 752 37, Sweden.
  • DiLorenzo S; Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Box 1031, Solna, 17121, Sweden.
  • Sandgren J; Clinical Genetics, Department of Molecular Medicine and Surgery, Karolinska Institutet, MMK L1:00, Karolinska University Hospital at Solna, Stockholm, 171 76, Sweden.
  • Díaz De Ståhl T; Department of Medical Sciences, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Husargatan 3, Uppsala, 752 37, Sweden.
  • Ewels P; Department of Oncology-Pathology, Karolinska Institutet, J5:30 BioClinicum, Visionsgatan 4, Karolinska University Hospital at Solna, Solna, 17164, Sweden.
  • Wirta V; Department of Oncology-Pathology, Karolinska Institutet, J5:30 BioClinicum, Visionsgatan 4, Karolinska University Hospital at Solna, Solna, 17164, Sweden.
  • Nistér M; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Box 1031, Solna, 17121, Sweden.
  • Käller M; Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Facility, Science for Life Laboratory, Karolinska Institutet, Box 1031, Solna, 171 21, Sweden.
  • Nystedt B; Department of Oncology-Pathology, Karolinska Institutet, J5:30 BioClinicum, Visionsgatan 4, Karolinska University Hospital at Solna, Solna, 17164, Sweden.
F1000Res ; 9: 63, 2020.
Article en En | MEDLINE | ID: mdl-32269765
ABSTRACT
Whole-genome sequencing (WGS) is a fundamental technology for research to advance precision medicine, but the limited availability of portable and user-friendly workflows for WGS analyses poses a major challenge for many research groups and hampers scientific progress. Here we present Sarek, an open-source workflow to detect germline variants and somatic mutations based on sequencing data from WGS, whole-exome sequencing (WES), or gene panels. Sarek features (i) easy installation, (ii) robust portability across different computer environments, (iii) comprehensive documentation, (iv) transparent and easy-to-read code, and (v) extensive quality metrics reporting. Sarek is implemented in the Nextflow workflow language and supports both Docker and Singularity containers as well as Conda environments, making it ideal for easy deployment on any POSIX-compatible computers and cloud compute environments. Sarek follows the GATK best-practice recommendations for read alignment and pre-processing, and includes a wide range of software for the identification and annotation of germline and somatic single-nucleotide variants, insertion and deletion variants, structural variants, tumour sample purity, and variations in ploidy and copy number. Sarek offers easy, efficient, and reproducible WGS analyses, and can readily be used both as a production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups. The Sarek source code, documentation and installation instructions are freely available at https//github.com/nf-core/sarek and at https//nf-co.re/sarek/.
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Texto completo: 1 Colección: 01-internacional Asunto principal: Programas Informáticos / Flujo de Trabajo / Secuenciación Completa del Genoma / Células Germinativas Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: F1000Res Año: 2020 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Asunto principal: Programas Informáticos / Flujo de Trabajo / Secuenciación Completa del Genoma / Células Germinativas Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: F1000Res Año: 2020 Tipo del documento: Article País de afiliación: Suecia