A statistical guide to the design of deep mutational scanning experiments
A statistical guide to the design of deep mutational scanning experiments
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Contents
The characterization of the distribution of mutational effects is a key goal in evolutionary biology. Recently developed deep-sequencing approaches allow for accurate and simultaneous estimation of the fitness effects of hundreds of engineered mutations by monitoring their relative abundance across time points in a single bulk competition. Naturall...
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Full title
A statistical guide to the design of deep mutational scanning experiments
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TN_cdi_proquest_journals_2070633197
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2070633197
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E-ISSN
2692-8205
DOI
10.1101/048892
How to access this item
https://www.proquest.com/docview/2070633197?pq-origsite=primo&accountid=13902
