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PGS: a dynamic and automated population-based genome structure software
Nan Hua, Harianto Tjong, Hanjun Shin, Ke Gong, Xianghong Jasmine Zhou, Frank Alber
doi: https://doi.org/10.1101/103358
Nan Hua
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
Harianto Tjong
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
Hanjun Shin
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
Ke Gong
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
Xianghong Jasmine Zhou
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
Frank Alber
1Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA
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Posted January 26, 2017.
PGS: a dynamic and automated population-based genome structure software
Nan Hua, Harianto Tjong, Hanjun Shin, Ke Gong, Xianghong Jasmine Zhou, Frank Alber
bioRxiv 103358; doi: https://doi.org/10.1101/103358
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