LDR | | 00000nam u2200205 4500 |
001 | | 000000436519 |
005 | | 20200228144405 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781085575140 |
035 | |
▼a (MiAaPQ)AAI10186313 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 576.6 |
100 | 1 |
▼a Hepler, Nicolaus Lance. |
245 | 10 |
▼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. |
502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Diego, 2019. |
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▼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. |
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▼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 |
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▼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 |
710 | 20 |
▼a University of California, San Diego.
▼b Bioinformatics and Systems Biology. |
773 | 0 |
▼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 |
856 | 40 |
▼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 |