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Predicting the Landscape of Recombination Using Deep Learning

Predicting the Landscape of Recombination Using Deep Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171297676

Predicting the Landscape of Recombination Using Deep Learning

About this item

Full title

Predicting the Landscape of Recombination Using Deep Learning

Publisher

United States: Oxford University Press

Journal title

Molecular biology and evolution, 2020-06, Vol.37 (6), p.1790-1808

Language

English

Formats

Publication information

Publisher

United States: Oxford University Press

More information

Scope and Contents

Contents

Accurately inferring the genome-wide landscape of recombination rates in natural populations is a central aim in genomics, as patterns of linkage influence everything from genetic mapping to understanding evolutionary history. Here, we describe recombination landscape estimation using recurrent neural networks (ReLERNN), a deep learning method for...

Alternative Titles

Full title

Predicting the Landscape of Recombination Using Deep Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3171297676

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3171297676

Other Identifiers

ISSN

0737-4038

E-ISSN

1537-1719

DOI

10.1093/molbev/msaa038

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