Understanding RNA Regulation Through Analysis of CLIP-Seq Data
dc.contributor.advisor | Mendell, Joshua T. | en |
dc.contributor.committeeMember | Xie, Yang | en |
dc.contributor.committeeMember | Xiao, Guanghua | en |
dc.contributor.committeeMember | Mangelsdorf, David J. | en |
dc.contributor.committeeMember | Zhang, Michael Q. | en |
dc.creator | Wang, Tao | en |
dc.date.accessioned | 2018-01-04T21:11:15Z | |
dc.date.available | 2018-01-04T21:11:15Z | |
dc.date.created | 2015-12 | |
dc.date.issued | 2015-11-18 | |
dc.date.submitted | December 2015 | |
dc.date.updated | 2018-01-04T21:04:48Z | |
dc.description.abstract | The past decades have witnessed a surge of discoveries revealing RNA regulation as a central player in cellular processes. The advent of cross-linking immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) technology has recently enabled the investigation of genome-wide RNA binding protein-RNA interactions, which is a very important component of RNA-regulation. However, proper and systematic bioinformatics analysis of CLIP-Seq data is still lacking and challenging. For the past few years, I have been devoting my research to methodological developments of CLIP-Seq data analysis, and developed MiClip and dCLIP for peak calling and differential analysis of CLLIP-Seq data, respectively. I have also applied my CLIP-Seq analysis pipelines in on-campus collaborating projects, in which I identified ORF57 and nuclear AGO2 binding sites. Finally, I conducted analysis of public CLIP-Seq datasets to systematically characterize RNA binding protein targeting sites on circular RNAs. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.oclc | 1017760201 | |
dc.identifier.uri | https://hdl.handle.net/2152.5/4457 | |
dc.language.iso | en | en |
dc.subject | Genomics | en |
dc.subject | High-Throughput Nucleotide Sequencing | en |
dc.subject | RNA | en |
dc.subject | RNA-Binding Proteins | en |
dc.subject | Sequence Analysis, RNA | en |
dc.title | Understanding RNA Regulation Through Analysis of CLIP-Seq Data | en |
dc.type | Thesis | en |
dc.type.material | text | en |
thesis.degree.department | Graduate School of Biomedical Sciences | en |
thesis.degree.discipline | Integrative Biology | en |
thesis.degree.grantor | UT Southwestern Medical Center | en |
thesis.degree.level | Doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |