A probabilistic model for detecting coding regions in DNA sequences-Reference-Cited by-同舟云学术

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A probabilistic model for detecting coding regions in DNA sequences

Published:1994 Issue:3 Volume:11 Page:149-160
ISSN:1477-8599
Container-title:Mathematical Medicine and Biology
language:en
Short-container-title:Math Med Biol

Author:

THOMAS ALUN,SKOLNICK MARK H.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Pharmacology,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,General Neuroscience

Link

http://academic.oup.com/imammb/article-pdf/11/3/149/6767344/11-3-149.pdf

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1. Prediction of Sphingosine protein-coding regions with a self adaptive spectral rotation method;PLOS ONE;2019-04-03

2. Advances in Soft Computing Approaches for Gene Prediction: A Bioinformatics Approach;Medical Imaging in Clinical Applications;2016

3. Detection change points of triplet periodicity of gene;Gene;2012-01

4. Computational Approaches for Gene Prediction: A Comparative Survey;Informatics Engineering and Information Science;2011

5. Using Triplet Periodicity of Nucleotide Sequences for Finding Potential Reading Frame Shifts in Genes;DNA Research;2009-01-15

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