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Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial. |
| 개인저자 | Frankhouser, David E. |
| 단체저자명 | The Ohio State University. Biomedical Sciences. |
| 발행사항 | [S.l.]: The Ohio State University., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 127 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438097940 |
| 학위논문주기 | Thesis (Ph.D.)--The Ohio State University, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Lisa Yee |
| 요약 | Cancer research is rapidly advancing toward more personalized treatments and diagnostics. The major driving force of this advancement are the technological developments of sequencing which has resulted in greatly reduced costs. The democratizati |
| 요약 | MethylCap-seq is an approach that uses a protein that binds to DNAm to capture methylated DNA fragments. A region with a large number of captured fragments is interpreted as having high DNAm. Therefore, quantification is based on the number of f |
| 요약 | Unlike MethylCap-seq, BS-seq provides DNAm quantification at nucleotide resolution and is considered the gold-standard of DNAm sequencing assays. We utilized BS-seq to assess DNAm for an on-going clinical trial that aims to investigate the effic |
| 일반주제명 | Bioinformatics. Biomedical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
