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Tim J P Hubbard

Showing results (1-10 of 36) with videos related to

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Bioinformatics (Oxford, England)|April 6, 2002
MaxBench: evaluation of sequence and structure comparison methodsRaphael Leplae, Tim J P Hubbard
BMC Bioinformatics|September 17, 2004
What can we learn from noncoding regions of similarity between genomes?Thomas A Down, Tim J P Hubbard
Genome Research|March 5, 2002
Computational detection and location of transcription start sites in mammalian genomic DNAThomas A Down, Tim J P Hubbard
Nucleic Acids Research|March 12, 2005
NestedMICA: sensitive inference of over-represented motifs in nucleic acid sequenceThomas A Down, Tim J P Hubbard
BMC Bioinformatics|September 28, 2006
A machine learning strategy to identify candidate binding sites in human protein-coding sequenceThomas Down, Bernard Leong, Tim J P Hubbard
Bioinformatics (Oxford, England)|October 6, 2005
Adding some SPICE to DASAndreas Prlić, Thomas A Down, Tim J P Hubbard
Bioinformatics (Oxford, England)|January 22, 2011
Dalliance: interactive genome viewing on the webThomas A Down, Matias Piipari, Tim J P Hubbard
Nucleic Acids Research|October 28, 2006
SISYPHUS--structural alignments for proteins with non-trivial relationshipsAntonina Andreeva, Andreas Prlić, Tim J P Hubbard, et al.
Proteins|October 28, 2003
CASP5 target classificationLisa N Kinch, Yuan Qi, Tim J P Hubbard, et al.
Plos Computational Biology|January 24, 2007
Large-scale discovery of promoter motifs in Drosophila melanogasterThomas A Down, Casey M Bergman, Jing Su, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|April 6, 2002
MaxBench: evaluation of sequence and structure comparison methodsRaphael Leplae, Tim J P Hubbard
BMC Bioinformatics|September 17, 2004
What can we learn from noncoding regions of similarity between genomes?Thomas A Down, Tim J P Hubbard
Genome Research|March 5, 2002
Computational detection and location of transcription start sites in mammalian genomic DNAThomas A Down, Tim J P Hubbard
Nucleic Acids Research|March 12, 2005
NestedMICA: sensitive inference of over-represented motifs in nucleic acid sequenceThomas A Down, Tim J P Hubbard
BMC Bioinformatics|September 28, 2006
A machine learning strategy to identify candidate binding sites in human protein-coding sequenceThomas Down, Bernard Leong, Tim J P Hubbard
Bioinformatics (Oxford, England)|October 6, 2005
Adding some SPICE to DASAndreas Prlić, Thomas A Down, Tim J P Hubbard
Bioinformatics (Oxford, England)|January 22, 2011
Dalliance: interactive genome viewing on the webThomas A Down, Matias Piipari, Tim J P Hubbard
Nucleic Acids Research|October 28, 2006
SISYPHUS--structural alignments for proteins with non-trivial relationshipsAntonina Andreeva, Andreas Prlić, Tim J P Hubbard, et al.
Proteins|October 28, 2003
CASP5 target classificationLisa N Kinch, Yuan Qi, Tim J P Hubbard, et al.
Plos Computational Biology|January 24, 2007
Large-scale discovery of promoter motifs in Drosophila melanogasterThomas A Down, Casey M Bergman, Jing Su, et al.
Pageof 4