| LDR | | 01608nmm uu200421 4500 |
| 001 | | 000000334550 |
| 005 | | 20240805180529 |
| 008 | | 181129s2016 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438086401 |
| 035 | |
▼a (MiAaPQ)AAI10246404 |
| 035 | |
▼a (MiAaPQ)okstate:14914 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 581 |
| 100 | 1 |
▼a Espindola, Andres S. |
| 245 | 10 |
▼a Eukaryotic Plant Pathogen Detection Through High Throughput DNA/RNA Sequencing Data Analysis. |
| 260 | |
▼a [S.l.] :
▼b Oklahoma State University.,
▼c 2016 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2016 |
| 300 | |
▼a 158 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Carla D. Garzon. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Oklahoma State University, 2016. |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0664. |
| 650 | 4 |
▼a Plant pathology. |
| 650 | 4 |
▼a Bioinformatics. |
| 650 | 4 |
▼a Genetics. |
| 690 | |
▼a 0480 |
| 690 | |
▼a 0715 |
| 690 | |
▼a 0369 |
| 710 | 20 |
▼a Oklahoma State University.
▼b Plant Pathology (PhD). |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0664 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2016 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996544
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |