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» Using Multiple Alignments to Improve Gene Prediction
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RECOMB
2003
Springer
16 years 5 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler
ALMOB
2006
155views more  ALMOB 2006»
15 years 5 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
CCECE
2006
IEEE
15 years 11 months ago
Survey of Biological High Performance Computing: Algorithms, Implementations and Outlook Research
During recent years there has been an explosive growth of biological data coming from genome projects, proteomics, protein structure determination, and the rapid expansion in digi...
Nasreddine Hireche, J. M. Pierre Langlois, Gabriel...
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 3 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
BMCBI
2006
130views more  BMCBI 2006»
15 years 5 months ago
4SALE - A tool for synchronous RNA sequence and secondary structure alignment and editing
Background: In sequence analysis the multiple alignment builds the fundament of all proceeding analyses. Errors in an alignment could strongly influence all succeeding analyses an...
Philipp N. Seibel, Tobias Müller, Thomas Dand...