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020 ▼a 9780438159570
035 ▼a (MiAaPQ)AAI10599812
035 ▼a (MiAaPQ)wisc:14574
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 575
1001 ▼a O'Neill, Mary B.
24510 ▼a Evolutionary Genomics of Infectious Disease Across Spatial and Temporal Scales.
260 ▼a [S.l.] : ▼b The University of Wisconsin - Madison., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 241 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Caitlin S. Pepperell.
5021 ▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017.
520 ▼a Adaptation leaves population level genetic signatures that can be detected with modern sequencing technologies. This thesis dissects genetic signatures in natural populations of humans and human pathogens to understand how infectious disease has
590 ▼a School code: 0262.
650 4 ▼a Genetics.
650 4 ▼a Evolution & development.
650 4 ▼a Microbiology.
690 ▼a 0369
690 ▼a 0412
690 ▼a 0410
71020 ▼a The University of Wisconsin - Madison. ▼b Genetics.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0262
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996608 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자