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From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline
Open accessAbstract
This unit describes how to use BWA and the Genome Analysis Toolkit (GATK) to map genome sequencing data to a reference and produce high‐quality variant calls that can be used in downstream analyses. The complete workflow includes the core NGS data‐processing steps that are necessary to make the raw data suitable for analysis by the GATK, as well as the key methods involved in variant discovery using the GATK. Curr. Protoc. Bioinform . 43:11.10.1‐11.10.33. © 2013 by John Wiley & Sons, Inc.
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“The best practices recommended by the Broad Institute for variant calling were then followed (Van der Auwera et al., 2013).”
From Loss of epigenetic information as a cause of mammalian aging (2023) · cites this paper as Van der Auwera et al., 2013
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The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
Self-citationggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
Mann, H. B., & Whitney, D. R. (1947) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730491 · Cited by 14,320
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
Self-citationA map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Self-citationdbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026
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“Single nucleotide variants (SNVs) and small insertions and deletions (indels) were detected using Genome Analysis Toolkit (GATK) best practices 58 .”
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Metadata
- Authors
- Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., Banks, E., Garimella, K. V., Altshuler, D., Gabriel, S., & DePristo, M. A.
- Affiliations
- Genome Sequencing and Analysis Group Broad Institute Cambridge Massachusetts
- Broad Institute (US)
- Centre for Human Genetics (GB)
- ORCID
- Venue
- Current Protocols in Bioinformatics
- Publisher
- Wiley
- Published
- 2013-10
- Volume
- 43
- Issue
- 1
- Pages
- 11.10.1-11.10.33
- ISSN
- 1934-3396 (ISSN-L)
- 1934-340X
- PMC
- PMC4243306
- OpenAlex
- W1919257374
- Cited by
- 6,687
- References
- 14
- Citations by year
- 2026: 342 · 2025: 559 · 2024: 677 · 2023: 662 · 2022: 729 · 2021: 877 · 2020: 716 · 2019: 648 · 2018: 528 · 2017: 416 · 2016: 293 · 2015: 168 · 2014: 60 · 2013: 2
- FWCI
- 78.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Protocols in Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Human Genome Research Institute (U54HG003067, U01HG006569)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Keywords
- variant calling, GATK, BWA, genome alignment, next-generation sequencing data processing, variant discovery, reference genome mapping, bioinformatics pipeline
- MeSH terms
- Calibration, Haploidy, Haplotypes, Humans, Software, Genetic Variation, Genome, Human, Sequence Alignment, Polymorphism, Single Nucleotide, Databases, Genetic, Molecular Sequence Annotation
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