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Protein Interaction Network based Approaches to Characterize Protein Function, Molecularly Profile Genetic Variants, and Investigate Mechanisms Linked to Viral-Host Pathology in Sars-CoV-2
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Protein Interaction Network based Approaches to Characterize Protein Function, Molecularly Profile Genetic Variants, and Investigate Mechanisms Linked to Viral-Host Pathology in Sars-CoV-2. |
| 개인저자 | Wierbowski, Shayne Davis. |
| 단체저자명 | Cornell University. Computational Biology. |
| 발행사항 | [S.l.]: Cornell University., 2022. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
| 형태사항 | 186 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-12B. Dissertation Abstract International |
| ISBN | 9798819369197 |
| 학위논문주기 | Thesis (Ph.D.)--Cornell University, 2022. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Advisor: Yu, Haiyuan. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Systematic biology. Plant sciences. Virology. Epidemiology. Biochemistry. Genetics. Pathology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
