DNA sequence analysis linguistic tools: contrast vocabularies, compositional spectra and linguistic complexity.

@article{citeulike:201535, abstract = {This is a review of the methods based on counting oligomers in nucleotide and amino acid sequences. Such methods are analogous to the formal linguistic analysis of human texts. This review includes methods based on the calculation of observed occurrences (frequencies) of oligomers and their distribution, as well as those based on deviations between the observed and the expected occurrences (contrast words, genome signatures) in biological sequences. Both types of methods have a wide range of sensitivity and can identify homologous as well as functionally and taxonomically related sequences.}, address = {Genome Diversity Center, Institute of Evolution, University of Haifa, Haifa, Israel. bolshoy@research.haifa.ac.il}, author = {Bolshoy, A. }, citeulike-article-id = {201535}, issn = {1175-5636}, journal = {Appl Bioinformatics}, keywords = {analysis, linguistics, sequence}, number = {2}, pages = {103--112}, posted-at = {2005-05-16 16:48:06}, priority = {5}, title = {DNA sequence analysis linguistic tools: contrast vocabularies, compositional spectra and linguistic complexity.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15130826}, volume = {2}, year = {2003} }

TY - JOUR ID - citeulike:201535 L3 - citeulike-article-id:201535 TI - DNA sequence analysis linguistic tools: contrast vocabularies, compositional spectra and linguistic complexity. JF - Appl Bioinformatics VL - 2 IS - 2 SP - 103 EP - 112 AD - Genome Diversity Center, Institute of Evolution, University of Haifa, Haifa, Israel. bolshoy@research.haifa.ac.il SN - 1175-5636 N2 - This is a review of the methods based on counting oligomers in nucleotide and amino acid sequences. Such methods are analogous to the formal linguistic analysis of human texts. This review includes methods based on the calculation of observed occurrences (frequencies) of oligomers and their distribution, as well as those based on deviations between the observed and the expected occurrences (contrast words, genome signatures) in biological sequences. Both types of methods have a wide range of sensitivity and can identify homologous as well as functionally and taxonomically related sequences. KW - analysis KW - linguistics KW - sequence AU - Bolshoy, A PY - 2003/// UR - http://view.ncbi.nlm.nih.gov/pubmed/15130826 ER -