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Whole genome sequencing (WGS) can provide comprehensive insights into the genetic makeup of lymphomas. Here we describe a selection of methods for the analysis of WGS data, including alignment, identification… Click to show full abstract
Whole genome sequencing (WGS) can provide comprehensive insights into the genetic makeup of lymphomas. Here we describe a selection of methods for the analysis of WGS data, including alignment, identification of different classes of genomic variants, the identification of driver mutations, and the identification of mutational signatures. We further outline design considerations for WGS studies and provide a variety of quality control measures to detect common quality problems in the data.
Keywords:
sequencing data;
whole genome;
evaluation whole;
biology;
genome sequencing
Journal Title: Methods in molecular biology
Year Published: 2019
Link to full text (if available)
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Journal Title: Methods in molecular biology
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!