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| 001 | 144470 | ||
| 005 | 20240229112626.0 | ||
| 020 | _ | _ | |a 978-1-4939-9150-1 (print) |
| 020 | _ | _ | |a 978-1-4939-9151-8 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-1-4939-9151-8_15 |2 doi |
| 024 | 7 | _ | |a pmid:30779042 |2 pmid |
| 024 | 7 | _ | |a 1064-3745 |2 ISSN |
| 024 | 7 | _ | |a 1940-6029 |2 ISSN |
| 024 | 7 | _ | |a altmetric:56072597 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2019-01921 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Hübschmann, Daniel |0 P:(DE-HGF)0 |b 0 |e First author |
| 245 | _ | _ | |a Evaluation of Whole Genome Sequencing Data. |
| 260 | _ | _ | |a [Heidelberg] |c 2019 |b [Springer] |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Book |0 PUB:(DE-HGF)3 |2 PUB:(DE-HGF) |m book |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1565335613_21515 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |a 312 - Functional and structural genomics (POF3-312) |0 G:(DE-HGF)POF3-312 |c POF3-312 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series, PubMed, |
| 700 | 1 | _ | |a Schlesner, Matthias |0 P:(DE-He78)f2a782242acf94a3114d75c45dc75b37 |b 1 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1007/978-1-4939-9151-8_15 |0 PERI:(DE-600)2493551-7 |p 321-336 |t Methods in molecular biology |v 1956 |y 2019 |x 1064-3745 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:144470 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)f2a782242acf94a3114d75c45dc75b37 |
| 913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-312 |2 G:(DE-HGF)POF3-300 |v Functional and structural genomics |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 920 | 1 | _ | |0 I:(DE-He78)B080-20160331 |k B080 |l Theoretische Bioinformatik |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)V960-20160331 |k V960 |l HI-Stem |x 1 |
| 920 | 1 | _ | |0 I:(DE-He78)A010-20160331 |k A010 |l Stammzellen und Krebs |x 2 |
| 920 | 1 | _ | |0 I:(DE-He78)B240-20160331 |k B240 |l Bioinformatik und Omics Data Analytics |x 3 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a book |
| 980 | _ | _ | |a I:(DE-He78)B080-20160331 |
| 980 | _ | _ | |a I:(DE-He78)V960-20160331 |
| 980 | _ | _ | |a I:(DE-He78)A010-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B240-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
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