Discovering sequence motifs with arbitrary insertions and deletions.
BIOLOGY IS ENCODED IN MOLECULAR SEQUENCES: deciphering this encoding remains a grand scientific challenge. Functional regions of DNA, RNA, and protein sequences often exhibit characteristic but subtle motifs; thus, computational discovery of motifs in sequences is a fundamental and much-studied prob...
Main Authors: | Martin C Frith, Neil F W Saunders, Bostjan Kobe, Timothy L Bailey |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2008-05-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2323616?pdf=render |
Similar Items
-
File updates under random/arbitrary insertions and deletions
by: Wang, Qiwen, et al.
Published: (2016) -
File Updates Under Random/Arbitrary Insertions And Deletions
by: Wang, Qiwen, et al.
Published: (2021) -
Discovering motifs in ranked lists of DNA sequences.
by: Eran Eden, et al.
Published: (2007-03-01) -
Practical strategies for discovering regulatory DNA sequence motifs.
by: Kenzie D MacIsaac, et al.
Published: (2006-04-01) -
Motif-All: discovering all phosphorylation motifs
by: Li Ning, et al.
Published: (2011-02-01)