| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000431509 |
| 005 | | 20200224102044 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781088324028 |
| 035 | |
▼a (MiAaPQ)AAI13904804 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 641 |
| 100 | 1 |
▼a Carroll, Laura M. |
| 245 | 10 |
▼a High-Throughput Characterization of Foodborne Pathogens using Next-Generation Sequencing. |
| 260 | |
▼a [S.l.]:
▼b Cornell University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 229 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B. |
| 500 | |
▼a Advisor: Wiedmann, Martin. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Cornell University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a Next-generation sequencing (NGS) is being increasingly employed to characterize food-associated microbes and communities, including those which pose a threat to human health. As the amount of publicly available genomic data from these organisms increases, (i) rapid, scalable methods for inferring biological function from large amounts of NGS data are needed, and (ii) meaningful biological conclusions derived using these methods can be leveraged to improve safety along the food supply chain. The studies reported here detail the application of whole-genome sequencing (WGS) to two groups of organisms which differ in terms of the challenges they pose to human health: (i) non-typhoidal Salmonella enterica, a well-characterized, Gram-negative foodborne pathogen which boasts a large repertoire of established computational methods for analyzing WGS data derived from it, and (ii) the lesser-sequenced Bacillus cereus group, which consists of closely related, Gram-positive, spore-forming species which vary in their ability to cause disease in humans. For Salmonella enterica, antimicrobial resistance (AMR) was of particular concern |
| 590 | |
▼a School code: 0058. |
| 650 | 4 |
▼a Microbiology. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Food science. |
| 690 | |
▼a 0410 |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0359 |
| 710 | 20 |
▼a Cornell University.
▼b Food Science and Technology. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-05B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0058 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492564
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |