Genome maps across 26 human populations reveal population-specific patterns of structural variation
Genome maps across 26 human populations reveal population-specific patterns of structural variation
About this item
Full title
Author / Creator
Levy-Sakin, Michal , Pastor, Steven , Mostovoy, Yulia , Li, Le , Leung, Alden K. Y. , McCaffrey, Jennifer , Young, Eleanor , Lam, Ernest T. , Hastie, Alex R. , Wong, Karen H. Y. , Chung, Claire Y. L. , Ma, Walfred , Sibert, Justin , Rajagopalan, Ramakrishnan , Jin, Nana , Chow, Eugene Y. C. , Chu, Catherine , Poon, Annie , Lin, Chin , Naguib, Ahmed , Wang, Wei-Ping , Cao, Han , Chan, Ting-Fung , Yip, Kevin Y. , Xiao, Ming and Kwok, Pui-Yan
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Large structural variants (SVs) in the human genome are difficult to detect and study by conventional sequencing technologies. With long-range genome analysis platforms, such as optical mapping, one can identify large SVs (>2 kb) across the genome in one experiment. Analyzing optical genome maps of 154 individuals from the 26 populations sequenced...
Alternative Titles
Full title
Genome maps across 26 human populations reveal population-specific patterns of structural variation
Authors, Artists and Contributors
Author / Creator
Pastor, Steven
Mostovoy, Yulia
Li, Le
Leung, Alden K. Y.
McCaffrey, Jennifer
Young, Eleanor
Lam, Ernest T.
Hastie, Alex R.
Wong, Karen H. Y.
Chung, Claire Y. L.
Ma, Walfred
Sibert, Justin
Rajagopalan, Ramakrishnan
Jin, Nana
Chow, Eugene Y. C.
Chu, Catherine
Poon, Annie
Lin, Chin
Naguib, Ahmed
Wang, Wei-Ping
Cao, Han
Chan, Ting-Fung
Yip, Kevin Y.
Xiao, Ming
Kwok, Pui-Yan
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_91ad69cc6ebb4dd28ba0a08624df46fd
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_91ad69cc6ebb4dd28ba0a08624df46fd
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-019-08992-7
