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Timothy L Bailey

Showing results (21-30 of 81) with videos related to

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BMC Bioinformatics|February 16, 2006
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structuresMikael Bodén, Zheng Yuan, Timothy L Bailey
Nucleic Acids Research|February 17, 2017
CisMapper: predicting regulatory interactions from transcription factor ChIP-seq dataTimothy O'Connor, Mikael Bodén, Timothy L Bailey
Bioinformatics (Oxford, England)|March 26, 2014
Improving MEME via a two-tiered significance analysisEmi Tanaka, Timothy L Bailey, Uri Keich
Development (Cambridge, England)|May 29, 2014
Switching on sex: transcriptional regulation of the testis-determining gene SryChristian Larney, Timothy L Bailey, Peter Koopman
Proteins|January 13, 2005
Prediction of protein B-factor profilesZheng Yuan, Timothy L Bailey, Rohan D Teasdale
Nucleic Acids Research|November 8, 2008
High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sitesTom Whitington, Andrew C Perkins, Timothy L Bailey
Nature Protocols|May 24, 2014
Motif-based analysis of large nucleotide data sets using MEME-ChIPWenxiu Ma, William S Noble, Timothy L Bailey
Genome Research|February 7, 2014
Statistical confidence estimation for Hi-C data reveals regulatory chromatin contactsFerhat Ay, Timothy L Bailey, William Stafford Noble
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 30, 2010
A Bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodiesMikael Bodén, Graham Dellaire, Kevin Burrage, et al.
BMC Bioinformatics|March 1, 2006
GONOME: measuring correlations between GO terms and genomic positionsStefan M Stanley, Timothy L Bailey, John S Mattick
Pageof 9

Showing results (21-30 of 81) with videos related to

Sort By:
Pageof 9
BMC Bioinformatics|February 16, 2006
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structuresMikael Bodén, Zheng Yuan, Timothy L Bailey
Nucleic Acids Research|February 17, 2017
CisMapper: predicting regulatory interactions from transcription factor ChIP-seq dataTimothy O'Connor, Mikael Bodén, Timothy L Bailey
Bioinformatics (Oxford, England)|March 26, 2014
Improving MEME via a two-tiered significance analysisEmi Tanaka, Timothy L Bailey, Uri Keich
Development (Cambridge, England)|May 29, 2014
Switching on sex: transcriptional regulation of the testis-determining gene SryChristian Larney, Timothy L Bailey, Peter Koopman
Proteins|January 13, 2005
Prediction of protein B-factor profilesZheng Yuan, Timothy L Bailey, Rohan D Teasdale
Nucleic Acids Research|November 8, 2008
High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sitesTom Whitington, Andrew C Perkins, Timothy L Bailey
Nature Protocols|May 24, 2014
Motif-based analysis of large nucleotide data sets using MEME-ChIPWenxiu Ma, William S Noble, Timothy L Bailey
Genome Research|February 7, 2014
Statistical confidence estimation for Hi-C data reveals regulatory chromatin contactsFerhat Ay, Timothy L Bailey, William Stafford Noble
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 30, 2010
A Bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodiesMikael Bodén, Graham Dellaire, Kevin Burrage, et al.
BMC Bioinformatics|March 1, 2006
GONOME: measuring correlations between GO terms and genomic positionsStefan M Stanley, Timothy L Bailey, John S Mattick
Pageof 9