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» Mining Protein Sequences for Motifs
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GCB
2000
Springer
99views Biometrics» more  GCB 2000»
13 years 8 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 5 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
BMCBI
2010
124views more  BMCBI 2010»
13 years 4 months ago
Estimation and efficient computation of the true probability of recurrence of short linear protein sequence motifs in unrelated
Background: Large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing met...
Norman E. Davey, Richard J. Edwards, Denis C. Shie...
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
13 years 9 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
BMCBI
2007
190views more  BMCBI 2007»
13 years 4 months ago
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
Emma Redhead, Timothy L. Bailey