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Eukaryotic Plant Pathogen Detection Through High Throughput DNA/RNA Sequencing Data Analysis
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Eukaryotic Plant Pathogen Detection Through High Throughput DNA/RNA Sequencing Data Analysis. |
| 개인저자 | Espindola, Andres S. |
| 단체저자명 | Oklahoma State University. Plant Pathology (PhD). |
| 발행사항 | [S.l.]: Oklahoma State University., 2016. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2016. |
| 형태사항 | 158 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438086401 |
| 학위논문주기 | Thesis (Ph.D.)--Oklahoma State University, 2016. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Carla D. Garzon. |
| 요약 | Plant pathogen detection is crucial for developing appropriate management techniques. A variety of tools are available for rapid plant pathogen detection. Most tools rely on unique features of the pathogen to detect its presence. Immunoassays re |
| 일반주제명 | Plant pathology. Bioinformatics. Genetics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
