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020 ▼a 9780438167827
035 ▼a (MiAaPQ)AAI10808610
035 ▼a (MiAaPQ)umn:19107
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 574
1001 ▼a Nair, Asha A.
24512 ▼a A Novel Bioinformatics Approach to Characterize and Integrate Messenger RNAs, Circular RNAs and Micro RNAs.
260 ▼a [S.l.] : ▼b University of Minnesota., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 129 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Advisers: Krishna R. Kalari
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2018.
520 ▼a High-throughput Next Generation RNA sequencing (RNA-Seq) technology is affluent with information about the transcriptome, which includes both protein-coding and multiple non-coding regions. In a diseased state, complex interactions between these
520 ▼a In this dissertation, I developed three coherent bioinformatics solutions that aim to address these shortcomings in RNA-Seq. First, a comprehensive workflow called MAPR-Seq was developed to analyze and report various features of protein-coding m
520 ▼a Collectively, the three workflows were applied to the largest cohort of breast cancer samples (n=885) from The Cancer Genome Atlas (TCGA). Based on the results obtained from these workflows, I present several key findings that are pertinent to b
520 ▼a In general, the developed bioinformatics solutions can also be applied to RNA-Seq data of other cancer subtypes and diseases to identify unique messenger RNA -- microRNA -- circular RNA candidates that could be promising diagnostic targets towar
590 ▼a School code: 0130.
650 4 ▼a Bioinformatics.
690 ▼a 0715
71020 ▼a University of Minnesota. ▼b Biomedical Informatics and Computational Biology.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997825 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자