Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
5R01HG001257-02
Application #
2209577
Study Section
Special Emphasis Panel (ZRG2-GNM (02))
Project Start
1995-09-20
Project End
1998-08-31
Budget Start
1996-09-01
Budget End
1997-08-31
Support Year
2
Fiscal Year
1996
Total Cost
Indirect Cost
Name
Wadsworth Center
Department
Type
DUNS #
110521739
City
Menands
State
NY
Country
United States
Zip Code
12204
Newberg, Lee A; Lawrence, Charles E (2009) Exact calculation of distributions on integers, with application to sequence alignment. J Comput Biol 16:1-18
Webb-Robertson, Bobbie-Jo M; McCue, Lee Ann; Lawrence, Charles E (2008) Measuring global credibility with application to local sequence alignment. PLoS Comput Biol 4:e1000077
Carvalho, Luis E; Lawrence, Charles E (2008) Centroid estimation in discrete high-dimensional spaces with applications in biology. Proc Natl Acad Sci U S A 105:3209-14
Thompson, William A; Newberg, Lee A; Conlan, Sean et al. (2007) The Gibbs Centroid Sampler. Nucleic Acids Res 35:W232-7
Newberg, Lee A; Thompson, William A; Conlan, Sean et al. (2007) A phylogenetic Gibbs sampler that yields centroid solutions for cis-regulatory site prediction. Bioinformatics 23:1718-27
Ding, Ye; Chan, Chi Yu; Lawrence, Charles E (2006) Clustering of RNA secondary structures with application to messenger RNAs. J Mol Biol 359:554-71
Conlan, Sean; Lawrence, Charles; McCue, Lee Ann (2005) Rhodopseudomonas palustris regulons detected by cross-species analysis of alphaproteobacterial genomes. Appl Environ Microbiol 71:7442-52
Chan, Chi Yu; Lawrence, Charles E; Ding, Ye (2005) Structure clustering features on the Sfold Web server. Bioinformatics 21:3926-8
Thompson, William; McCue, Lee Ann; Lawrence, Charles E (2005) Using the Gibbs motif sampler to find conserved domains in DNA and protein sequences. Curr Protoc Bioinformatics Chapter 2:Unit 2.8
Newberg, Lee A; McCue, Lee Ann; Lawrence, Charles E (2005) The relative inefficiency of sequence weights approaches in determining a nucleotide position weight matrix. Stat Appl Genet Mol Biol 4:Article13

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