Accurate Estimation of Isoform and Gene Expression Levels from Next Generation Sequencing Data
نویسندگان
چکیده
2011 ii ACKNOWLEDGEMENTS I would like to thank my major advisor Dr. Ion M˘ andoiu and collaborators Dr. Alexander Zelikovsky and Serghei Mangul for their direct contributions to this thesis. Special acknowledgements go to professor Doru Popescu-Anastasiu, my high-school Computer Science teacher, who was a great inspiration for me and played a key role in me getting to UConn. I would also like to thank my associate advisors, professors, colleagues, friends and family for their support.
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Next-generation RNA sequencing (RNA-seq) technology has been widely used to assess full-length RNA isoform abundance in a highthroughput manner. RNA-seq data offer insight into gene expression levels and transcriptome structures, enabling us to better understand the regulation of gene expression and fundamental biological processes. Accurate isoform quantification from RNA-seq data is challengi...
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