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Framework for quality assessment of whole genome cancer sequences
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020), Nature Communications
- Publication Year :
- 2020
- Publisher :
- Nature Publishing Group, 2020.
-
Abstract
- Bringing together cancer genomes from different projects increases power and allows the investigation of pan-cancer, molecular mechanisms. However, working with whole genomes sequenced over several years in different sequencing centres requires a framework to compare the quality of these sequences. We used the Pan-Cancer Analysis of Whole Genomes cohort as a test case to construct such a framework. This cohort contains whole cancer genomes of 2832 donors from 18 sequencing centres. We developed a non-redundant set of five quality control (QC) measurements to establish a star rating system. These QC measures reflect known differences in sequencing protocol and provide a guide to downstream analyses and allow for exclusion of samples of poor quality. We have found that this is an effective framework of quality measures. The implementation of the framework is available at: https://dockstore.org/containers/quay.io/jwerner_dkfz/pancanqc:1.2.2.<br />Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.
- Subjects :
- 0301 basic medicine
Male
Quality Control
Computer science
Science
media_common.quotation_subject
DNA Mutational Analysis
General Physics and Astronomy
Computational biology
Genome
General Biochemistry, Genetics and Molecular Biology
Poor quality
Article
03 medical and health sciences
0302 clinical medicine
Neoplasms
Cancer genomics
Chromosomes, Human
Humans
Quality (business)
Rating system
DNA sequencing
ddc:610
lcsh:Science
media_common
Protocol (science)
Multidisciplinary
Whole Genome Sequencing
Quality assessment
Genome, Human
fungi
Chromosome Mapping
High-Throughput Nucleotide Sequencing
food and beverages
General Chemistry
Genomics
3. Good health
Research data
030104 developmental biology
Mutation
Female
lcsh:Q
030217 neurology & neurosurgery
Software
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....bd511542da78414d3f1f5ab5ff9d978c
- Full Text :
- https://doi.org/10.1038/s41467-020-18688-y