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020 ▼a 9781085575140
035 ▼a (MiAaPQ)AAI10186313
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 576.6
1001 ▼a Hepler, Nicolaus Lance.
24510 ▼a HIV-1 Sequence Analysis: Approaches and Applications from Transmission Network Inference to Epitope Discovery.
260 ▼a [S.l.]: ▼b University of California, San Diego., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 142 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500 ▼a Advisor: Kosakovsky Pond, Sergei L.
5021 ▼a Thesis (Ph.D.)--University of California, San Diego, 2019.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
520 ▼a Recent advances in sequencing technology, especially next-generation sequencing (NGS), have become central to the study of rapidly evolving pathogens such as HIV-1. However, one must contend with the massive amount of data produced by NGS as well as artifacts arising from sample preparation and sequencing. To deal with these complexities, numerous bioinformatics methods have appeared to enable researchers to extract the maximum value from their sequencing data. Unfortunately, the number of methods and the difficulty of benchmarking have limited their reach
590 ▼a School code: 0033.
650 4 ▼a Bioinformatics.
650 4 ▼a Artificial intelligence.
650 4 ▼a Virology.
690 ▼a 0715
690 ▼a 0720
690 ▼a 0800
71020 ▼a University of California, San Diego. ▼b Bioinformatics and Systems Biology.
7730 ▼t Dissertations Abstracts International ▼g 81-02B.
773 ▼t Dissertation Abstract International
790 ▼a 0033
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490182 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK