MiRCancer : a microRNA-cancer association database and toolkit based on text mining / by Boya Xie.

Author/creator Xie, Boya
Other author Ding, Qin.
Other author East Carolina University. Department of Computer Science.
Format Theses and dissertations
Publication Info[Greenville, N.C.] : East Carolina University, 2010.
Description51 pages : illustrations (some color), digital, PDF file
Supplemental ContentAccess via ScholarShip
Subjects

Summary MicroRNAs (miRNAs) are a class of single-stranded small non-coding RNAs. Study of miRNAs has been a fast growing field since the first miRNA was discovered in 1993. Many findings indicate that miRNA plays an important role in regulating crucial processes in gene development. In this research, we designed and implemented a framework called miRCancer, which is the first comprehensive database for miRNA expression profiles in human cancers based on experimental results. miRCancer also includes an integrated microRNA sequence analysis toolkit to help researchers discover possible relationships and functionalities of miRNAs. Text mining was used to automatically extract miRNA expression information from online electronic literatures. A new coding system, EICD-O, was introduced to annotate miRNA expressions in cancers.
General notePresented to the faculty of the Department of Computer Science.
General noteAdvisor: Qin Ding.
General noteTitle from PDF t.p. (viewed April 25, 2011).
Dissertation noteM.S. East Carolina University 2010.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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