| LDR | | 01746nam u200421 4500 |
| 001 | | 000000422260 |
| 005 | | 20190215170001 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438250284 |
| 035 | |
▼a (MiAaPQ)AAI10827626 |
| 035 | |
▼a (MiAaPQ)ucsf:11630 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a Lyalina, Svetlana. |
| 245 | 10 |
▼a Mining the Gut Microbiome for Temporal Signals of Inflammatory Bowel Disease and Novel Symbiont Genomes. |
| 260 | |
▼a [S.l.]:
▼b University of California, San Francisco.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 73 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Katherine S. Pollard. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Francisco, 2018. |
| 520 | |
▼a High-throughput sequencing has firmly established itself as the leading method for assaying the structure and functional capacity of microbial communities. With this deluge of data, care must be taken to account for technical and biological arti |
| 590 | |
▼a School code: 0034. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Microbiology. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0410 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a University of California, San Francisco.
▼b Biological and Medical Informatics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0034 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999052
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |