Timothy L. Bailey

Molecular Biology · 1994–2020

A researcher in the Science corpus: 15 papers; trusts 41 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 105 citations into it; #1,493 of 17,773 by trust here, #1,171 by citations
• Genetics — 16 citations into it
• Plant Science — 12 citations into it; #6,344 of 8,232 by trust here, #4,390 by citations
• Computational Biology & Bioinformatics — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Timothy L. Bailey trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philip Machanick
2. Giulio Pavesi
3. Albin Sandelin
4. Martin C. Frith
5. John A. Stamatoyannopoulos
6. Charles Peter Elkan
7. Elizabeth G. Wilbanks
8. Stefan Kurtz
9. Peter V. Kharchenko
10. Vladimir Naumovich Vapni

Who trusts Timothy L. Bailey overall

1. Gary D. Stormo
2. Shaun Mahony
3. Kyoung-Jae Won
4. Ting Wang
5. Xiaoyong Li
6. P. Park
7. James Johnson
8. Anthony Mathelier
9. Audrey P. Gasch
10. André P. Gerber

Papers from Timothy L. Bailey's perspective

Ordered by how strongly the researchers Timothy L. Bailey trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. Gene Ontology: tool for the unification of biology
3. Combinatorial Approaches to Finding Subtle Signals in DNA Sequences (Intelligent Systems in Molecular Biology)
4. MEME: discovering and analyzing DNA and protein sequence motifs
5. An improved map of conserved regulatory sites for Saccharomyces cerevisiae (BMC Bioinformatics)
6. Computation for ChIP-seq and RNA-seq studies (Nature Methods)
7. TRANSFAC: an integrated system for gene expression regulation (Nucleic Acids Res.)
8. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
9. Linear Pattern Matching Algorithms
10. BioProspector: Discovering Conserved DNA Motifs in Upstream Regulatory Regions of Co-Expressed Genes (Pacific Symposium on Biocomputing)

Their papers

• The Transcriptional Landscape of the Mammalian Genome (2005) — 3,572 citations
• Prediction of protein B‐factor profiles (2005) — 221 citations
• MEME Suite: tools for motif discovery and searching (2009) — 9,455 citations
• Quantifying similarity between motifs (2007) — 1,930 citations
• MEME: discovering and analyzing DNA and protein sequence motifs (2006) — 2,594 citations
• MEME-ChIP: motif analysis of large DNA datasets (2011) — 1,733 citations
• The MEME Suite (2015) — 4,336 citations
• Assessing computational tools for the discovery of transcription factor binding sites (2005) — 1,411 citations
• Discovering Sequence Motifs with Arbitrary Insertions and Deletions (2008) — 376 citations
• Inferring direct DNA binding from ChIP-seq (2012) — 468 citations
• Defining the RGG/RG motif. (2013) — 617 citations
• Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts (2014) — 481 citations
• STREME: Accurate and versatile sequence motif discovery (2020) — 527 citations
• Methods and Statistics for Combining Motif Match Scores (1998)
• Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer (1994)