Optimized position weight matrices in prediction of novel putative binding sites for transcription factors in the Drosophila melanogaster genome.
Position weight matrices (PWMs) have become a tool of choice for the identification of transcription factor binding sites in DNA sequences. DNA-binding proteins often show degeneracy in their binding requirement and thus the overall binding specificity of many proteins is unknown and remains an acti...
Main Authors: | Vyacheslav Y Morozov, Ilya P Ioshikhes |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3735551?pdf=render |
Similar Items
-
Optimizing the GATA-3 position weight matrix to improve the identification of novel binding sites
by: Nandi Soumyadeep, et al.
Published: (2012-08-01) -
Dinucleotide weight matrices for predicting transcription factor binding sites: generalizing the position weight matrix.
by: Rahul Siddharthan
Published: (2010-03-01) -
Computational Methods for Inferring Transcription Factor Binding Sites
by: Morozov, Vyacheslav
Published: (2012) -
Computational Methods for Inferring Transcription Factor Binding Sites
by: Morozov, Vyacheslav
Published: (2012) -
Computational Methods for Inferring Transcription Factor Binding Sites
by: Morozov, Vyacheslav
Published: (2012)