| Literature DB >> 30323186 |
Riku Katainen1,2, Iikki Donner3,4, Tatiana Cajuso3,4, Eevi Kaasinen3,4, Kimmo Palin3,4, Veli Mäkinen5, Lauri A Aaltonen3,4, Esa Pitkänen6,7,8.
Abstract
Next-generation sequencing (NGS) is routinely applied in life sciences and clinical practice, but interpretation of the massive quantities of genomic data produced has become a critical challenge. The genome-wide mutation analyses enabled by NGS have had a revolutionary impact in revealing the predisposing and driving DNA alterations behind a multitude of disorders. The workflow to identify causative mutations from NGS data, for example in cancer and rare diseases, commonly involves phases such as quality filtering, case-control comparison, genome annotation, and visual validation, which require multiple processing steps and usage of various tools and scripts. To this end, we have introduced an interactive and user-friendly multi-platform-compatible software, BasePlayer, which allows scientists, regardless of bioinformatics training, to carry out variant analysis in disease genetics settings. A genome-wide scan of regulatory regions for mutation clusters can be carried out with a desktop computer in ~10 min with a dataset of 3 million somatic variants in 200 whole-genome-sequenced (WGS) cancers.Entities:
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Year: 2018 PMID: 30323186 DOI: 10.1038/s41596-018-0052-3
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491