Timothy L. Bailey

	2009
27		John Hawkins, Charles E. Grant, William Stafford Noble, Timothy L. Bailey: Assessing phylogenetic motif models for predicting transcription factor binding sites. Bioinformatics 25(12): (2009)
26		Denis C. Bauer, Timothy L. Bailey: Optimizing static thermodynamic models of transcriptional regulation. Bioinformatics 25(13): 1640-1646 (2009)
25		Timothy L. Bailey, Mikael Bodén, Fabian A. Buske, Martin Frith, Charles E. Grant, Luca Clementi, Jingyuan Ren, Wilfred W. Li, William Stafford Noble: MEME SUITE: tools for motif discovery and searching. Nucleic Acids Research 37(Web-Server-Issue): 202-208 (2009)
	2008
24		John Hawkins, Timothy L. Bailey: The Statistical Power of Phylogenetic Motif Models. RECOMB 2008: 112-126
23		Denis C. Bauer, Timothy L. Bailey: Studying the functional conservation of cis-regulatory modules and their transcriptional output. BMC Bioinformatics 9: (2008)
22		Denis C. Bauer, Timothy L. Bailey: STREAM: Static Thermodynamic REgulAtory Model of transcription. Bioinformatics 24(21): 2544-2545 (2008)
	2007
21		Emma Redhead, Timothy L. Bailey: Discriminative motif discovery in DNA and protein sequences using the DEME algorithm. BMC Bioinformatics 8: (2007)
	2006
20		Mikael Bodén, Zheng Yuan, Timothy L. Bailey: Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures. BMC Bioinformatics 7: 68 (2006)
19		Stefan M. Stanley, Timothy L. Bailey, John S. Mattick: GONOME: measuring correlations between GO terms and genomic positions. BMC Bioinformatics 7: 94 (2006)
18		Mikael Bodén, Timothy L. Bailey: Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. Bioinformatics 22(15): 1809-1814 (2006)
17		Timothy L. Bailey, Nadya Williams, Chris Misleh, Wilfred W. Li: MEME: discovering and analyzing DNA and protein sequence motifs. Nucleic Acids Research 34(Web-Server-Issue): 369-373 (2006)
	2003
16		Timothy L. Bailey, William Stafford Noble: Searching for statistically significant regulatory modules. ECCB 2003: 16-25
15		Timothy L. Bailey, Michael Gribskov: Estimating and Evaluating the Statistics of Gapped Local-Alignment Scores. Journal of Computational Biology 9(3): 575-596 (2003)
	2000
14		Timothy L. Bailey, Michael Gribskov: Concerning the accuracy of MAST E-values. Bioinformatics 16(5): 488-489 (2000)
	1999
13		Timothy L. Bailey, William Noble Grundy: Classifying proteins by family using the product of correlated p-values. RECOMB 1999: 10-14
12		Timothy L. Bailey, Michael E. Baker, Charles Elkan, William Noble Grundy: MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences. Pattern Discovery in Biomolecular Data 1999: 30-54
11		William Noble Grundy, Timothy L. Bailey: Family pairwise search with embedded motif models. Bioinformatics 15(6): 463-470 (1999)
	1998
10		Timothy L. Bailey, Michael Gribskov: Combining evidence using p-values: application to sequence homology searches. Bioinformatics 14(1): 48-54 (1998)
9		Timothy L. Bailey, Michael Gribskov: Methods and Statistics for Combining Motif Match Scores. Journal of Computational Biology 5(2): 211-222 (1998)
	1997
8		William Noble Grundy, Timothy L. Bailey, Charles Elkan, Michael E. Baker: Meta-MEME: motif-based hidden Markov models of protein families. Computer Applications in the Biosciences 13(4): 397-406 (1997)
7		Timothy L. Bailey, Michael Gribskov: Score Distributions for Simultaneous Matching to Multiple Motifs. Journal of Computational Biology 4(1): 45-60 (1997)
	1996
6		Timothy L. Bailey, Michael Gribskov: The Megaprior Heuristic for Discovering Protein Sequence Patterns. ISMB 1996: 15-24
5		William Noble Grundy, Timothy L. Bailey, Charles Elkan: ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool. Computer Applications in the Biosciences 12(4): 303-310 (1996)
	1995
4		Timothy L. Bailey, Charles Elkan: The Value of Prior Knowledge in Discovering Motifs with MEME. ISMB 1995: 21-29
3		Timothy L. Bailey, Charles Elkan: Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization. Machine Learning 21(1-2): 51-80 (1995)
	1994
2		Timothy L. Bailey, Charles Elkan: Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer. ISMB 1994: 28-36
	1993
1		Timothy L. Bailey, Charles Elkan: Estimating the Accuracy of Learned Concepts. IJCAI 1993: 895-901

Coauthor Index

1	Michael E. Baker	[8] [12]
2	Denis C. Bauer	[22] [23] [26]
3	Mikael Bodén	[18] [20] [25]
4	Fabian A. Buske	[25]
5	Luca Clementi	[25]
6	Charles Elkan	[1] [2] [3] [4] [5] [8] [12]
7	Martin Frith	[25]
8	Charles E. Grant	[25] [27]
9	Michael Gribskov	[6] [7] [9] [10] [14] [15]
10	William Noble Grundy	[5] [8] [11] [12] [13]
11	John Hawkins	[24] [27]
12	Wilfred W. Li	[17] [25]
13	John S. Mattick	[19]
14	Chris Misleh	[17]
15	William Stafford Noble	[16] [25] [27]
16	Emma Redhead	[21]
17	Jingyuan Ren	[25]
18	Stefan M. Stanley	[19]
19	Nadya Williams	[17]
20	Zheng Yuan	[20]

Colors in the list of coauthors