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» Motif Evaluation by Leave-one-out Scoring
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CIBCB
2006
IEEE
13 years 11 months ago
Motif Evaluation by Leave-one-out Scoring
Abstract— We propose a new method for collecting information on regulatory elements found by any motif discovery program. We suggest that combining the results of n leave-oneout ...
Audrey Girouard, Noah W. Smith, Donna K. Slonim
JCB
1998
84views more  JCB 1998»
13 years 4 months ago
Methods and Statistics for Combining Motif Match Scores
Position-speci c scoring matrices are useful for representing and searching for protein sequence motifs. A sequence family can often be described by a group of one or more motifs,...
Timothy L. Bailey, Michael Gribskov
BMCBI
2007
133views more  BMCBI 2007»
13 years 5 months ago
MATLIGN: a motif clustering, comparison and matching tool
Background: Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS)...
Matti Kankainen, Ari Löytynoja
ALMOB
2007
74views more  ALMOB 2007»
13 years 5 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
CCECE
2006
IEEE
13 years 11 months ago
Evaluation of RNA Secondary Structure Motifs using Regression Analysis
Recent experimental evidences have shown that ribonucleic acid (RNA) plays a greater role in the cell than previously thought. An ensemble of RNA sequences believed to contain sig...
Mohammad Anwar, Marcel Turcotte