Book/Journal Article

DKFZ-2019-01921

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Evaluation of Whole Genome Sequencing Data.

Hübschmann, D. (First author)DKFZ* ; Schlesner, M. (Last author)DKFZ*

2019
[Springer] [Heidelberg]
ISBN: 978-1-4939-9150-1 (print), 978-1-4939-9151-8 (electronic)

This record in other databases:  

Please use a persistent id in citations: doi:10.1007/978-1-4939-9151-8_15

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.

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Contributing Institute(s):

1. Theoretische Bioinformatik (B080)
2. HI-Stem (V960)
3. Stammzellen und Krebs (A010)
4. Bioinformatik und Omics Data Analytics (B240)

Research Program(s):

1. 312 - Functional and structural genomics (POF3-312) (POF3-312)

Appears in the scientific report 2019

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Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

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