Showing results (1-10 of 27) with videos related to
Sort By:
Pageof 3
Bioinformatics (Oxford, England)|April 1, 2000
Finding prokaryotic genes by the 'frame-by-frame' algorithm: targeting gene starts and overlapping genesA M Shmatkov, A A Melikyan, F L Chernousko, et al.Nucleic Acids Research|September 11, 1999
Heuristic approach to deriving models for gene findingJ Besemer, M BorodovskyComputers & Chemistry|September 1, 1994
Deriving non-homogeneous DNA Markov chain models by cluster analysis algorithm minimizing multiple alignment entropyM Borodovsky, A PeresetskyComputer Applications in the Biosciences : CABIOS|October 1, 1992
First and second moment of counts of words in random texts generated by Markov chainsJ Kleffe, M BorodovskySovremennye Tekhnologii V Meditsine|September 13, 2021
Postoperative Hypoparathyroidism: Prognosis, Prevention, and Treatment (Review)A A Melikyan, A V MenkovBio Systems|January 1, 1993
Recognition of genes in DNA sequence with ambiguitiesM Borodovsky, J McIninchGenome Research|December 10, 1998
How to interpret an anonymous bacterial genome: machine learning approach to gene identificationW S Hayes, M BorodovskyPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|August 11, 1998
Deriving ribosomal binding site (RBS) statistical models from unannotated DNA sequences and the use of the RBS model for N-terminal predictionW S Hayes, M BorodovskyNucleic Acids Research|March 21, 1998
GeneMark.hmm: new solutions for gene findingA V Lukashin, M BorodovskyComputers & Chemistry|March 1, 1996
Statistical analysis of GeneMark performance by cross-validationJ Kleffe, K Hermann, M BorodovskyPageof 3