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PMID: 9536098 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Statistical features of human exons and their flanking regions.

Human molecular genetics ·Vol. 7 ·No. 5 ·1998-05-00 ·Pages 919-32

Zhang MQ

Abstract

To facilitate gene finding and for the investigation of human molecular genetics on a genome scale, we present a comprehensive survey on various statistical features of human exons. We first show that human exons with flanking genomic DNA sequences can be classified into 12 mutually exclusive categories. This classification could serve as a standard for future studies so that direct comparisons of results can be made. A database for eight categories (related to human genes in which coding regions are split by introns) was built from GenBank release 87.0 and analyzed by a number of methods to characterize statistical features of these sequences that may serve as controls or regulatory signals for gene expression. The statistical information compiled includes profiles of signals for transcription, splicing and translation, various compositional statistics and size distributions. Further analyses reveal novel correlations and constraints among different splicing features across an internal exon that are consistent with the Exon Definition model. This information is fundamental for a quantitative view of human gene organization, and should be invaluable for individual scientists to design human molecular genetics experiments.

MeSH Terms
Adenine Base Composition Bayes Theorem Codon Confidence Intervals Cytosine Databases, Factual Exons/genetics Guanine Humans Introns Reading Frames Sequence Analysis, DNA/methods,statistics & numerical data Thymine
Chemicals
Codon Guanine Cytosine Adenine Thymine
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Zhang M Q
Cold Spring Harbor Laboratory, PO Box 100, Cold Spring Harbor, NY 11724, USA. mzhang@cshl.org
Article Info
Journal
Human molecular genetics
Abbr.
Hum Mol Genet
ISSN
0964-6906
Published
1998-05-00
Pages
919-32
Language
English
Region
England
NLM ID
9208958
Subset
IM
Grants
NHGRI NIH HHS · HG00010 · United States
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