Home LiteratureArticle Details
PMID: 8293321 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

A weight array method for splicing signal analysis.

Computer applications in the biosciences : CABIOS ·Vol. 9 ·No. 5 ·1993-10-00 ·Pages 499-509

Zhang MQ, Marr TG

Abstract

A new method of sequence analysis, using a weight array method (WAM), which generalizes the traditional Staden weight matrix method (WMM), is proposed. With the help of a statistical mechanical model, the discriminant function is identified with the energy function describing macromolecular interactions. The method is applied to the study of 5'-splice signals in Schizosaccharomyces pombe pre-mRNA sequences. The results show that there may exist weak pairwise correlations within the signals and that our method can help to better discriminate these signals. Experiments are proposed to test the predictions of the theory.

MeSH Terms
Animals Base Sequence Exons Humans Introns Models, Genetic Models, Statistical Molecular Sequence Data RNA Precursors/genetics RNA Splicing/genetics RNA, Fungal/genetics Schizosaccharomyces/genetics Sequence Analysis, RNA/methods,statistics & numerical data
Chemicals
RNA Precursors RNA, Fungal
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Zhang M Q
Cold Spring Harbor Laboratory, NY 11724.
Marr T G
Article Info
Journal
Computer applications in the biosciences : CABIOS
Abbr.
Comput Appl Biosci
ISSN
0266-7061
Published
1993-10-00
Pages
499-509
Language
English
Region
England
NLM ID
8511758
Subset
IM
Grants
PHS HHS · 1R01 FG00203-01A1 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com