Timothy L. Bailey

Orcid: 0000-0002-7018-9342

Affiliations:
  • University of Nevada, Reno, USA


According to our database1, Timothy L. Bailey authored at least 54 papers between 1993 and 2021.

Collaborative distances:

Timeline

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Bibliography

2021
STREME: accurate and versatile sequence motif discovery.
Bioinform., 2021

2020
T-Gene: improved target gene prediction.
Bioinform., 2020

2019
MoMo: discovery of statistically significant post-translational modification motifs.
Bioinform., 2019

2016
MCAST: scanning for <i>cis</i>-regulatory motif clusters.
Bioinform., 2016

2015
The MEME Suite.
Nucleic Acids Res., 2015

2014
Improving MEME via a two-tiered significance analysis.
Bioinform., 2014

GT-Scan: identifying unique genomic targets.
Bioinform., 2014

2013
DLocalMotif: a discriminative approach for discovering local motifs in protein sequences.
Bioinform., 2013

Triplex-Inspector: an analysis tool for triplex-mediated targeting of genomic loci.
Bioinform., 2013

2012
Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study.
BMC Bioinform., 2012

Genome-wide <i>in silico</i> prediction of gene expression.
Bioinform., 2012

Epigenetic priors for identifying active transcription factor binding sites.
Bioinform., 2012

2011
Improved similarity scores for comparing motifs.
Bioinform., 2011

A probabilistic model of nuclear import of proteins.
Bioinform., 2011

Tissue-specific prediction of directly regulated genes.
Bioinform., 2011

MEME-ChIP: motif analysis of large DNA datasets.
Bioinform., 2011

FIMO: scanning for occurrences of a given motif.
Bioinform., 2011

Sorting the nuclear proteome.
Bioinform., 2011

DREME: motif discovery in transcription factor ChIP-seq data.
Bioinform., 2011

2010
A Bayesian Network Model of Proteins' Association with Promyelocytic Leukemia (PML) Nuclear Bodies.
J. Comput. Biol., 2010

Predicting SUMOylation sites in developmental transcription factors of Drosophila melanogaster.
Neurocomputing, 2010

Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.
BMC Bioinform., 2010

Dual-functioning transcription factors in the developmental gene network of <i>Drosophila melanogaster</i>.
BMC Bioinform., 2010

The value of position-specific priors in motif discovery using MEME.
BMC Bioinform., 2010

Assigning roles to DNA regulatory motifs using comparative genomics.
Bioinform., 2010

Improved prediction of transcription binding sites from chromatin modification data.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

2009
MEME SUITE: tools for motif discovery and searching.
Nucleic Acids Res., 2009

Assessing phylogenetic motif models for predicting transcription factor binding sites.
Bioinform., 2009

Optimizing static thermodynamic models of transcriptional regulation.
Bioinform., 2009

2008
Discovering Sequence Motifs with Arbitrary Insertions and Deletions.
PLoS Comput. Biol., 2008

Studying the functional conservation of cis-regulatory modules and their transcriptional output.
BMC Bioinform., 2008

STREAM: Static Thermodynamic REgulAtory Model of transcription.
Bioinform., 2008

The Statistical Power of Phylogenetic Motif Models.
Proceedings of the Research in Computational Molecular Biology, 2008

2007
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm.
BMC Bioinform., 2007

2006
MEME: discovering and analyzing DNA and protein sequence motifs.
Nucleic Acids Res., 2006

GONOME: measuring correlations between GO terms and genomic positions.
BMC Bioinform., 2006

Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures.
BMC Bioinform., 2006

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure.
Bioinform., 2006

2003
Estimating and Evaluating the Statistics of Gapped Local-Alignment Scores.
J. Comput. Biol., 2003

Searching for statistically significant regulatory modules.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2000
Concerning the accuracy of MAST E-values.
Bioinform., 2000

1999
Family pairwise search with embedded motif models.
Bioinform., 1999

Classifying proteins by family using the product of correlated <i>p</i>-values.
Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999

MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences.
Proceedings of the Pattern Discovery in Biomolecular Data: Tools, 1999

1998
Methods and Statistics for Combining Motif Match Scores.
J. Comput. Biol., 1998

Combining evidence using p-values: application to sequence homology searches.
Bioinform., 1998

1997
Score Distributions for Simultaneous Matching to Multiple Motifs.
J. Comput. Biol., 1997

Meta-MEME: motif-based hidden Markov models of protein families.
Comput. Appl. Biosci., 1997

1996
ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool.
Comput. Appl. Biosci., 1996

The Megaprior Heuristic for Discovering Protein Sequence Patterns.
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, 1996

1995
Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.
Mach. Learn., 1995

The Value of Prior Knowledge in Discovering Motifs with MEME.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer.
Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

1993
Estimating the Accuracy of Learned Concepts.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993


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