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Statistical Methods for Differential Analysis of Hi-C And ChIP-Seq Data
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Nguyen, Duy. |
| 단체저자명 | The University of Wisconsin - Madison. Statistics. |
| 서명/저자사항 | Statistical Methods for Differential Analysis of Hi-C And ChIP-Seq Data. |
| 발행사항 | [S.l.] : The University of Wisconsin - Madison., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 140 p. |
| 소장본 주기 | School code: 0262. |
| ISBN | 9780438207776 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Sunduz Keles. |
| 요약 | High-throughput sequencing has become a standard method in genomics research and made it possible to address important biological questions. In this thesis, we focus on developing statistical methodologies and software to analyze two important h |
| 요약 | This thesis contains three major parts. In the first part, we discuss challenges in quantitative comparison of Hi-C data (often referred as ``differential (interaction) analysis'' problem) across different cellular conditions. Prior to this work |
| 요약 | For the second part, we investigate statistical challenges in quantitative comparison of histone profiles across different cellular conditions from ChIP-seq data. Quantitative comparison of histone profiles largely depends on methods borrowed fr |
| 요약 | In the last part, we describe our two novel software in the R packages TreeHic and tan. Through applications to real Hi-C and ChIP-seq data, we present how these software could reveal biological insights that are not captures in standard data a |
| 일반주제명 | Statistics. Biostatistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999873 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024607 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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