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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Mcpeek, M. S. Speed, T. P. Scherer, S. |
| Description | Author Affiliation: Scherer S ( Human Genome Center, Lawrence Berkeley Laboratory, Berkeley, CA 94720.); |
| Abstract | Large genomic DNA sequences contain regions with distinctive patterns of sequence organization. We describe a method using logarithms of probabilities based on seventh-order Markov chains to rapidly identify genomic sequences that do not resemble models of genome organization built from compilations of octanucleotide usage. Data bases have been constructed from Escherichia coli and Saccharomyces cerevisiae DNA sequences of > 1000 nt and human sequences of > 10,000 nt. Atypical genes and clusters of genes have been located in bacteriophage, yeast, and primate DNA sequences. We consider criteria for statistical significance of the results, offer possible explanations for the observed variation in genome organization, and give additional applications of these methods in DNA sequence analysis. |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 15 |
| Volume Number | 91 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 1994-08-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | DNA Genetics Sequence Analysis, DNA Bacteriophage Lambda Genetic Variation Globins Information Systems Markov Chains Saccharomyces Research Support, U.S. Gov't, Non-P.H.S. Multidisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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