Literature DB >> 10890398

DNA segmentation through the Bayesian approach.

V E Ramensky1, M A Roytberg, V G Tumanyan.   

Abstract

We present a new approach to DNA segmentation into compositionally homogeneous blocks. The Bayesian estimator, which is applicable for both short and long segments, is used to obtain the measure of homogeneity. An exact optimal segmentation is found via the dynamic programming technique. After completion of the segmentation procedure, the sequence composition on different scales can be analyzed with filtration of boundaries via the partition function approach.

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Year:  2000        PMID: 10890398     DOI: 10.1089/10665270050081487

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

1.  A bayesian analysis for identifying DNA copy number variations using a compound poisson process.

Authors:  Jie Chen; Ayten Yiğiter; Yu-Ping Wang; Hong-Wen Deng
Journal:  EURASIP J Bioinform Syst Biol       Date:  2010-09-27

2.  Strand separation in negatively supercoiled DNA.

Authors:  Christian Mazza
Journal:  J Math Biol       Date:  2005-05-02       Impact factor: 2.259

3.  Identification of proteins associated with murine cytomegalovirus virions.

Authors:  Lisa M Kattenhorn; Ryan Mills; Markus Wagner; Alexandre Lomsadze; Vsevolod Makeev; Mark Borodovsky; Hidde L Ploegh; Benedikt M Kessler
Journal:  J Virol       Date:  2004-10       Impact factor: 5.103

Review 4.  Investigating genomic structure using changept: A Bayesian segmentation model.

Authors:  Manjula Algama; Jonathan M Keith
Journal:  Comput Struct Biotechnol J       Date:  2014-08-27       Impact factor: 7.271

5.  Interpreting genomic data via entropic dissection.

Authors:  Rajeev K Azad; Jing Li
Journal:  Nucleic Acids Res       Date:  2012-10-03       Impact factor: 16.971

  5 in total

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