Literature DB >> 15383213

Representing bioinformatics causality.

Johannes Mandel1, Niall M Palfreyman, Jesus A Lopez, Werner Dubitzky.   

Abstract

This paper reviews a variety of different graphical notations currently in active use for modelling dynamic processes in bioinformatics and biotechnology, and crystallises from these notations a set of properties essential to any proposal for a modelling language seeking to provide an adequate systemic description of biological processes.

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Year:  2004        PMID： 15383213     DOI： 10.1093/bib/5.3.270

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN： 1467-5463            Impact factor:   11.622


  7 in total

Review 1.  Causality, mosaics, and the health sciences.

Authors:  Olaf Dammann
Journal:  Theor Med Bioeth       Date:  2016-04

Review 2.  Inferring cellular networks--a review.

Authors:  Florian Markowetz; Rainer Spang
Journal:  BMC Bioinformatics       Date:  2007-09-27       Impact factor: 3.169

3.  Reverse-engineering gene-regulatory networks using evolutionary algorithms and grid computing.

Authors:  Martin Swain; Thomas Hunniford; Werner Dubitzky; Johannes Mandel; Niall Palfreyman
Journal:  J Clin Monit Comput       Date:  2005-10       Impact factor: 1.977

4.  Modeling biochemical transformation processes and information processing with Narrator.

Authors:  Johannes J Mandel; Hendrik Fuss; Niall M Palfreyman; Werner Dubitzky
Journal:  BMC Bioinformatics       Date:  2007-03-27       Impact factor: 3.169

5.  Modeling dynamic regulatory processes in stroke.

Authors:  Jason E McDermott; Kenneth Jarman; Ronald Taylor; Mary Lancaster; Harish Shankaran; Keri B Vartanian; Susan L Stevens; Mary P Stenzel-Poore; Antonio Sanfilippo
Journal:  PLoS Comput Biol       Date:  2012-10-11       Impact factor: 4.475

Review 6.  From pathways databases to network models of switching behavior.

Authors:  Baltazar D Aguda; Andrew B Goryachev
Journal:  PLoS Comput Biol       Date:  2007-09       Impact factor: 4.475

7.  Modeling of the Glycolysis Pathway in Plasmodium falciparum using Petri Nets.

Authors:  Jelili Oyelade; Itunuoluwa Isewon; Solomon Rotimi; Ifeoluwa Okunoren
Journal:  Bioinform Biol Insights       Date:  2016-05-12
  7 in total

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