| 1. |
- Garcia, Maxime, et al.
(författare)
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Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants
- 2020
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Ingår i: F1000 Research. - : F1000 Research Ltd. - 2046-1402. ; 9
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Tidskriftsartikel (refereegranskat)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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| 2. |
- Johansson, Sebastian, et al.
(författare)
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Comprehensive haplotyping of the HLA gene family using nanopore sequencing
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The HLA gene family is the most polymorphic loci in the human genome; it encodes for the major histocompatibility complexes (MHC) which mediates the immune response in terms of cellular interactions with antigens. Compatibility between HLA alleles is thus of great medical interest for recipients of allogeneic transplantations. Traditional serological techniques to evaluate compatibility are now being replaced by more accurate DNA sequencing-based methods. However, short read sequencing data typically result in collapsed sequences representing a mixture of variants from native haplotypes. In addition, most previous studies have been limited to a few highly polymorphic exons of various HLA genes. Here we present haplotype-resolved full-length sequencing of the six most clinically relevant MHC Class I and Class II genes, to characterize the haplotypes of eight reference individuals, using a single MinION flow cell. The results show that full-length sequencing of single molecules enables haplotypes to be resolved to the highest degree of accuracy (four-field resolution). In this study, a majority of the alleles were classified with four-field resolution and could be verified through previously published genotyping studies. These results support the notion that nanopore sequencing could be a viable solution for highly accurate clinical evaluation of histocompatibility.
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