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Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping
Kerry A Geiler-Samerotte, Shuang Li, Charalampos Lazaris, Austin Taylor, Naomi Ziv, Chelsea Ramjeawan, Annalise B Paaby, View ORCID ProfileMark L Siegal
doi: https://doi.org/10.1101/700716
Kerry A Geiler-Samerotte
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
bCenter for Mechanisms of Evolution, Biodesign Institutes, School of Life Sciences, Arizona State University, Tempe, AZ 85287
Shuang Li
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
Charalampos Lazaris
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
Austin Taylor
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
Naomi Ziv
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
Chelsea Ramjeawan
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
Annalise B Paaby
cSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
Mark L Siegal
aCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003
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Posted July 14, 2019.
Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping
Kerry A Geiler-Samerotte, Shuang Li, Charalampos Lazaris, Austin Taylor, Naomi Ziv, Chelsea Ramjeawan, Annalise B Paaby, Mark L Siegal
bioRxiv 700716; doi: https://doi.org/10.1101/700716
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