| LDR | | 01896nam u200385 4500 |
| 001 | | 000000419738 |
| 005 | | 20190215163921 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438278486 |
| 035 | |
▼a (MiAaPQ)AAI10929210 |
| 035 | |
▼a (MiAaPQ)wisc:15609 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 576 |
| 100 | 1 |
▼a Linz, Alexandra. |
| 245 | 10 |
▼a From Microbes to Ecosystems: Time Series Provide Insight Into How Microbial Metabolisms Scale to Ecosystem Functions. |
| 260 | |
▼a [S.l.]:
▼b The University of Wisconsin - Madison.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 172 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Katherine D. McMahon. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018. |
| 520 | |
▼a The study of freshwater microbial ecology has the potential to improve our knowledge both of biogeochemical cycling in freshwater and of the ecology of microbial communities. However, this area of research also presents several challenges. The f |
| 520 | |
▼a Using a multi-year time series of 16S rRNA amplicon data, I identify characteristic community members of bog lakes and assess their variability. By analyzing a multi-year metagenomic time series and genomes generated from that data, I compare mi |
| 590 | |
▼a School code: 0262. |
| 650 | 4 |
▼a Microbiology. |
| 690 | |
▼a 0410 |
| 710 | 20 |
▼a The University of Wisconsin - Madison.
▼b Microbiology ALS. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0262 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000933
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |