Search of latent periodicity in amino acid sequences by means of genetic algorithm and dynamic programming

DOI10.1515/SAGMB-2015-0079zbMath1359.92088OpenAlexW2470758581WikidataQ50622220 ScholiaQ50622220MaRDI QIDQ521439

Yong-Cai Geng, Sumit K. Garg

Publication date: 11 April 2017

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2015-0079

zbMATH Keywords

dynamic programmingperiodicityprotein sequencesdeletions

Mathematics Subject Classification ID

General biostatistics (92B15) Dynamic programming (90C39) Protein sequences, DNA sequences (92D20)

Uses Software

• HHrep
• T-REKS

Cites Work

• A formal analysis of the role of multi-point crossover in genetic algorithms
• The ``clustered structure of the purines/pyrimidines distribution in DNA distinguishes systematically between coding and non-coding sequences
• Information decomposition method to analyze symbolical sequences
• Latent periodicity of serine-threonine and tyrosine protein kinases and other protein families
• Biological Sequence Analysis
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