Identifying microRNAs by automated phylogenetic and structural analysis

Undergraduate Thesis Or Project

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/undergraduate_thesis_or_projects/sf2689395

Descriptions

Attribute Name	Values
Creator	Smith, Daniel P.
Abstract	Motivation: It can take considerable amounts of time and effort to use existing computational tools to analyze a small RNA sequence for the purpose of determining if it is characteristic of microRNA. It is similarly tedious to search for homologs to known microRNA sequences in the rapidly growing collection of genomic libraries. Results: Here I present a tool for automating the procedure used to locate loci for microRNA genes. Located sequences form a hairpin secondary structure and are conserved within the queried database(s). Availability: http://rnadev.science.oregonstate.edu/mirpal
License	All rights reserved
Resource Type	Undergraduate Thesis
Date Available	2007-10-29T14:48:35+00:00
Date Issued	2005-05-31
Degree Level	Bachelor's
Degree Name	Bachelor of Science (B.S.)
Degree Field	BioResource Research
Degree Grantor	Oregon State University
Commencement Year	2005
Advisor	Carrington, James C.
Non-Academic Affiliation	Oregon State University. Bioresource Research
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
File Format	application/pdf
File Extent	438526 bytes
Replaces	http://hdl.handle.net/1957/6764

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