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Deciphering the Wisent Demographic and Adaptive Histories from Individual Whole-Genome Sequences
Mathieu Gautier, Katayoun Moazami-Goudarzi, Leveziel Hubert, Hugues Parinello, Cécile Grohs, Stéphanie Rialle, Rafal Kowalczyk, Laurence Flori
doi: https://doi.org/10.1101/058446
Mathieu Gautier
1CBGP, INRA, CIRAD, IRD, Supagro, 34988 Montferrier-sur-Lez, France
2IBC, Institut de Biologie Computationnelle, 34095 Montpellier, France
Katayoun Moazami-Goudarzi
3GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
Leveziel Hubert
4UGMA, INRA, Université de Limoges, 87060 Limoges, France
Hugues Parinello
5MGX-Montpellier GenomiX, c/o Institut de Génomique Fonctionnelle, Montpellier, France
Cécile Grohs
3GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
Stéphanie Rialle
5MGX-Montpellier GenomiX, c/o Institut de Génomique Fonctionnelle, Montpellier, France
Rafal Kowalczyk
6Mammal Research Institute, Polish Academy of Sciences, 17-230 Białowieża, Poland
Laurence Flori
3GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
7INTERTRYP, CIRAD, IRD, 34398 Montpellier, France
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Posted June 12, 2016.
Deciphering the Wisent Demographic and Adaptive Histories from Individual Whole-Genome Sequences
Mathieu Gautier, Katayoun Moazami-Goudarzi, Leveziel Hubert, Hugues Parinello, Cécile Grohs, Stéphanie Rialle, Rafal Kowalczyk, Laurence Flori
bioRxiv 058446; doi: https://doi.org/10.1101/058446
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