TY  - JOUR
AU  - Hübschmann, Daniel
AU  - Schlesner, Matthias
TI  - Evaluation of Whole Genome Sequencing Data.
JO  - Methods in molecular biology
VL  - 1956
SN  - 1064-3745
CY  - [Heidelberg]
PB  - [Springer]
M1  - DKFZ-2019-01921
SN  - 978-1-4939-9150-1 (print)
SP  - 321-336
PY  - 2019
AB  - 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.
LB  - PUB:(DE-HGF)3 ; PUB:(DE-HGF)16
C6  - pmid:30779042
DO  - DOI:10.1007/978-1-4939-9151-8_15
UR  - https://inrepo02.dkfz.de/record/144470
ER  -