Statistical significance in biological sequence analysis

Author:

Mitrophanov Alexander Yu.1,Borodovsky Mark2

Affiliation:

1. Alexander Yu. Mitrophanov is a postdoctoral fellow at the School of Biology, Georgia Institute of Technology. His research interests include applications of probabilistic methods in different areas of bioinformatics and computational biology.

2. Mark Borodovsky is a Regents’ Professor at the School of Biology, Georgia Institute of Technology, and the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. His research interests include development of statistical methods for biological sequence analysis and identifying functionally important features of DNA and proteins in the conte

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Reference118 articles.

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2. Protein interaction maps for complete genomes based on gene fusion events;Enright;Nature,1999

3. Genes regulated cooperatively by one or more transcription factors and their identification in whole eukaryotic genomes;Wagner;Bioinformatics,1999

4. Significance of nucleotide sequence alignments: a method for random sequence permutation that preserves dinucleotide and codon usage;Altschul;Mol Biol Evol,1985

5. Statistical analyses of counts and distributions of restriction sites in DNA sequences;Karlin;Nucleic Acids Res,1992

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