Work

Variation graph toolkit improves read mapping by representing genetic variation in the reference

Year: 2018

Type: article

Source: Nature Biotechnology

DOI: 10.1038/nbt.4227

Authors: Erik Garrison, Jouni Sirén, Adam M Novak, Glenn Hickey, Jordan M Eizenga, Eric T Dawson, William Jones, Shilpa Garg, Charles Markello, Michael F Lin, Benedict Paten, Richard Durbin

Institutions: Wellcome Sanger Institute, University of California, Santa Cruz, University of Cambridge, National Cancer Institute, Max Planck Institute for Informatics, DNAnexus (United States)

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: W. M. Keck Foundation, Simons Foundation, Wellcome Trust, Cambridge Trust, National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute

Awards: Whole genome sequence based analysis of genetic variation and genome evolution, G1322250829, Whole genome sequence based analysis of genetic variation and genome evolution, G4830522, Unbiased analysis of genomic correlates of gene expression in health and disease, G5563276004, Cambridge, Mathematical Genomics and Medicine., UC Santa Cruz Training Program In Genomic Sciences, Cambridge, Mathematical Genomics and Medicine., G6663841836, GENCODE: comprehensive genome annotation for human and mouse, G6868616705, Wellcome Trust Sanger Institute - generic account for deposition of all core- funded research papers., Center for Big Data in Translational Genomics

OpenAlex ID: W2888300707

FWCI: 20.87

Cites: 45

Cited by: 787

Related to: 10