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020 ▼a 9780438097940
035 ▼a (MiAaPQ)AAI10901852
035 ▼a (MiAaPQ)OhioLINK:osu1512052081030923
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 574
1001 ▼a Frankhouser, David E.
24510 ▼a Methylome Analysis: From Computation Workflow Development to Implementation in a Breast Cancer Prevention Trial.
260 ▼a [S.l.]: ▼b The Ohio State University., ▼c 2017.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2017.
300 ▼a 127 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Advisers: Lisa Yee
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2017.
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0168.
650 4 ▼a Bioinformatics.
650 4 ▼a Biomedical engineering.
690 ▼a 0715
690 ▼a 0541
71020 ▼a The Ohio State University. ▼b Biomedical Sciences.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000290 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033