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Advances in Bayesian Modeling of Protein Structure Evolution
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Larson, Gary J. |
| 단체저자명 | Duke University. Statistical Science. |
| 서명/저자사항 | Advances in Bayesian Modeling of Protein Structure Evolution. |
| 발행사항 | [S.l.] : Duke University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 143 p. |
| 소장본 주기 | School code: 0066. |
| ISBN | 9780438377455 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Scott C. Schmidler. |
| 요약 | This thesis contributes to a statistical modeling framework for protein sequence and structure evolution. An existing Bayesian model for protein structure evolution is extended in two unique ways. Each of these model extensions addresses an impo |
| 요약 | Most available models for protein structure evolution do not model interdependence between the backbone sites of the protein, yet the assumption that the sites evolve independently is known to be false. I argue that ignoring such dependence lead |
| 요약 | The second model expansion allows for evolutionary inference on protein pairs having structural discrepancies attributable to backbone flexion. Thus, the model expansion exposes flexible protein structures to the capabilities of Bayesian protein |
| 요약 | Finally, I present work related to the study of bias in site-independent models for sequence evolution. In the case of binary sequences, I discuss strategies for theoretical proof of bias and provide various details to that end, including detail |
| 일반주제명 | Statistics. Biology. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-02B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999724 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025571 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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