Literature DB >> 9962591

Entropies of biosequences: The role of repeats.

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Abstract

Year:  1994        PMID： 9962591     DOI： 10.1103/physreve.50.5061

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN： 1063-651X


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  9 in total

1.  Formation and positioning of nucleosomes: effect of sequence-dependent long-range correlated structural disorder.

Authors:  C Vaillant; B Audit; C Thermes; A Arnéodo
Journal:  Eur Phys J E Soft Matter       Date:  2006-02-14       Impact factor: 1.890

2.  Wavelet Analysis of DNA Bending Profiles reveals Structural Constraints on the Evolution of Genomic Sequences.

Authors:  Benjamin Audit; Cédric Vaillant; Alain Arnéodo; Yves d'Aubenton-Carafa; Claude Thermes
Journal:  J Biol Phys       Date:  2004-03       Impact factor: 1.365

3.  Network compression as a quality measure for protein interaction networks.

Authors:  Loic Royer; Matthias Reimann; A Francis Stewart; Michael Schroeder
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

4.  Genomes are covered with ubiquitous 11 bp periodic patterns, the "class A flexible patterns".

Authors:  Etienne Larsabal; Antoine Danchin
Journal:  BMC Bioinformatics       Date:  2005-08-24       Impact factor: 3.169

Review 5.  From sequence to information.

Authors:  Ovidiu Popa; Ellen Oldenburg; Oliver Ebenhöh
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-02       Impact factor: 6.237

6.  Maximum Entropy Probability Density Principle in Probabilistic Investigations of Dynamic Systems.

Authors:  Jiří Náprstek; Cyril Fischer
Journal:  Entropy (Basel)       Date:  2018-10-15       Impact factor: 2.524

7.  Local Renyi entropic profiles of DNA sequences.

Authors:  Susana Vinga; Jonas S Almeida
Journal:  BMC Bioinformatics       Date:  2007-10-16       Impact factor: 3.169

8.  Clustering of giant virus-DNA based on variations in local entropy.

Authors:  Ranjan Bose; Gerhard Thiel; Kay Hamacher
Journal:  Viruses       Date:  2014-05-30       Impact factor: 5.048

9.  A model of k-mer surprisal to quantify local sequence information content surrounding splice regions.

Authors:  Sam Humphrey; Alastair Kerr; Magnus Rattray; Caroline Dive; Crispin J Miller
Journal:  PeerJ       Date:  2020-11-04       Impact factor: 2.984
  9 in total

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