EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem
Date of Award
2016
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Information Systems & Computer Science
First Advisor
Fernandez, Proceso L., Jr., Ph.D
Abstract
Finding DNA motifs is a widely studied area in the field of Computational Biology. Motifs signify different information that are useful for biologists like discovering transcription factor-binding sites and helps them identify potential therapeutic drug t
Recommended Citation
MARK JOSEPH, RONQUILLO, (2016). EMS-GT2 : an improved exact solution for the (l, d)-planted motif search problem. Archīum.ATENEO.
https://archium.ateneo.edu/theses-dissertations/328
Comments
The C7.R65 2016