자료유형 | 학위논문 |
---|---|
서명/저자사항 | A Novel Bioinformatics Approach to Characterize and Integrate Messenger RNAs, Circular RNAs and Micro RNAs. |
개인저자 | Nair, Asha A. |
단체저자명 | University of Minnesota. Biomedical Informatics and Computational Biology. |
발행사항 | [S.l.]: University of Minnesota., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 129 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438167827 |
학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Krishna R. Kalari |
요약 | 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 |
요약 | 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 |
요약 | 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 |
요약 | 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 |
일반주제명 | Bioinformatics. |
언어 | 영어 |
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