Skip Navigation

This Article
Right arrow Print PDF (545K)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (98)
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Smith, T. F.
Right arrow Articles by Sadler, J. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Smith, T. F.
Right arrow Articles by Sadler, J. R.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 1983, Vol. 11, No. 7 2205-2220
© 1983

MOLECULAR BIOLOGY

Statistical characterization of nucleic acid sequence functional domains

T. F. Smith1, M. S. Waterman2 and J. R. Sadler3

1Dept. Physics, Northern Michigan Unit Marquette, MI 49855 2Dept. Biochemistry and Biophysics, School of Medicine, Univ. California San Francisco, CA 94121 3Dept. Biochemistry/Biophysics/Genetics, Univ. Colorado Health Sciences Center Denver, CO 80262, USA

Received September 1, 1982. Revised March 1, 1983. Accepted March 1, 1983.

It has long been recognized that various genome classes were distinguishable on the basis of base composition and nearest neighbor frequencies. In addition Grantham et al. (8) have recently presented evidence that these distinctions are preserved at the level of codon usage. As discussed in this report it is now clear that these and related statistics can uniquely characterize the various functional domains of the genome. In particular peptide coding, intervening segments, structural RNA coding and mitochondrial domains of the vertebrate genome are uniquely characterizable. The statistical measures not only reflect understood functional differences among these domains but suggest others. The ability of these simple statistics of nucleic acid sequences to reflect so much of the encoded complex pattern information and/or effects of selective constraints is somewhat surprising.

Here, we investigated the statistical measures most distinctive of the various domains and then linked them to our current understandings in so far as possible.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J. Biol. Chem.Home page
Y.-P. Di, R. Harper, Y. Zhao, N. Pahlavan, W. Finkbeiner, and R. Wu
Molecular Cloning and Characterization of spurt, a Human Novel Gene That Is Retinoic Acid-inducible and Encodes a Secretory Protein Specific in Upper Respiratory Tracts
J. Biol. Chem., January 3, 2003; 278(2): 1165 - 1173.
[Abstract] [Full Text] [PDF]

Home page
 Genome Res.Home page
G. Elgar, M. S. Clark, S. Meek, S. Smith, S. Warner, Y. J.K. Edwards, N. Bouchireb, A. Cottage, G. S.H. Yeo, Y. Umrania, et al.
Generation and Analysis of 25 Mb of Genomic DNA from the Pufferfish Fugu rubripes by Sequence Scanning
Genome Res., October 1, 1999; 9(10): 960 - 971.
[Abstract] [Full Text]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.