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CEGA: a method for inferring natural selection by comparative population genomic analysis across species.

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Title: CEGA: a method for inferring natural selection by comparative population genomic analysis across species.
Authors: Zhao S; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; China National Center for Bioinformation, Beijing, 100101, China.; School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China., Chi L; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; China National Center for Bioinformation, Beijing, 100101, China., Chen H; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. chenh@big.ac.cn.; China National Center for Bioinformation, Beijing, 100101, China. chenh@big.ac.cn.; School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China. chenh@big.ac.cn.; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China. chenh@big.ac.cn.
Source: Genome biology [Genome Biol] 2023 Oct 03; Vol. 24 (1), pp. 219. Date of Electronic Publication: 2023 Oct 03.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: CEGA: a method for inferring natural selection by comparative population genomic analysis across species.
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  Data: <searchLink fieldCode="AU" term="%22Zhao+S%22">Zhao S</searchLink>; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; China National Center for Bioinformation, Beijing, 100101, China.; School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China.<br /><searchLink fieldCode="AU" term="%22Chi+L%22">Chi L</searchLink>; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; China National Center for Bioinformation, Beijing, 100101, China.<br /><searchLink fieldCode="AU" term="%22Chen+H%22">Chen H</searchLink>; CAS Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. chenh@big.ac.cn.; China National Center for Bioinformation, Beijing, 100101, China. chenh@big.ac.cn.; School of Future Technology, College of Life Sciences and Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, China. chenh@big.ac.cn.; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China. chenh@big.ac.cn.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2023 Oct 03; Vol. 24 (1), pp. 219. <i>Date of Electronic Publication: </i>2023 Oct 03.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s13059-023-03068-8
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      – Code: eng
        Text: English
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        StartPage: 219
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      – TitleFull: CEGA: a method for inferring natural selection by comparative population genomic analysis across species.
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            NameFull: Zhao S
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            NameFull: Chi L
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            NameFull: Chen H
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            – D: 03
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              Text: 2023 Oct 03
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              Y: 2023
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