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» Detecting Motifs from Sequences
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BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
MycoperonDB: a database of computationally identified operons and transcriptional units in Mycobacteria
Background: A key post genomics challenge is to identify how genes in an organism come together and perform physiological functions. An important first step in this direction is t...
Sarita Ranjan, Ranjit Kumar Gundu, Akash Ranjan
BMCBI
2006
155views more  BMCBI 2006»
15 years 6 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
BIOINFORMATICS
2011
15 years 27 days ago
All-atom knowledge-based potential for RNA structure prediction and assessment
Motivation: Over the recent years, the vision that RNA simply serves as information transfer molecule has dramatically changed. The study of the sequence/structure/function relati...
Emidio Capriotti, Tomás Norambuena, Marc A....
MICCAI
2002
Springer
16 years 7 months ago
Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMR...
Guillaume Flandin, Ferath Kherif, Xavier Pennec, G...
ICASSP
2009
IEEE
16 years 1 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin