Literature DB >> 12584124

GenePath: a system for automated construction of genetic networks from mutant data.

Blaz Zupan1, Janez Demsar, Ivan Bratko, Peter Juvan, John A Halter, Adam Kuspa, Gad Shaulsky.   

Abstract

MOTIVATION: Genetic networks are often used in the analysis of biological phenomena. In classical genetics, they are constructed manually from experimental data on mutants. The field lacks formalism to guide such analysis, and accounting for all the data becomes complicated when large amounts of data are considered.
RESULTS: We have developed GenePath, an intelligent assistant that automates the analysis of genetic data. GenePath employs expert-defined patterns to uncover gene relations from the data, and uses these relations as constraints in the search for a plausible genetic network. GenePath formalizes genetic data analysis, facilitates the consideration of all the available data in a consistent manner, and the examination of the large number of possible consequences of planned experiments. It also provides an explanation mechanism that traces every finding to the pertinent data. AVAILABILITY: GenePath can be accessed at http://genepath.org. SUPPLEMENTARY INFORMATION: Supplementary material is available at http://genepath.org/bi-.supp.

Mesh:

Year:  2003        PMID: 12584124     DOI: 10.1093/bioinformatics/btf871

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

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2.  Automated identification of pathways from quantitative genetic interaction data.

Authors:  Alexis Battle; Martin C Jonikas; Peter Walter; Jonathan S Weissman; Daphne Koller
Journal:  Mol Syst Biol       Date:  2010-06-08       Impact factor: 11.429

3.  The PathOlogist: an automated tool for pathway-centric analysis.

Authors:  Sharon I Greenblum; Sol Efroni; Carl F Schaefer; Ken H Buetow
Journal:  BMC Bioinformatics       Date:  2011-05-04       Impact factor: 3.307

4.  GenePath: from mutations to genetic networks and back.

Authors:  Peter Juvan; Janez Demsar; Gad Shaulsky; Blaz Zupan
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

5.  Reverse engineering a signaling network using alternative inputs.

Authors:  Hiromasa Tanaka; Tau-Mu Yi
Journal:  PLoS One       Date:  2009-10-29       Impact factor: 3.240

6.  A survey of visualization tools for biological network analysis.

Authors:  Georgios A Pavlopoulos; Anna-Lynn Wegener; Reinhard Schneider
Journal:  BioData Min       Date:  2008-11-28       Impact factor: 2.522

7.  Enriching for direct regulatory targets in perturbed gene-expression profiles.

Authors:  Susannah G Tringe; Andreas Wagner; Stephanie W Ruby
Journal:  Genome Biol       Date:  2004-03-30       Impact factor: 13.583

8.  Searching for synergies: matrix algebraic approaches for efficient pair screening.

Authors:  Philip Gerlee; Linnéa Schmidt; Naser Monsefi; Teresia Kling; Rebecka Jörnsten; Sven Nelander
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

9.  Gene network inference by probabilistic scoring of relationships from a factorized model of interactions.

Authors:  Marinka Zitnik; Blaž Zupan
Journal:  Bioinformatics       Date:  2014-06-15       Impact factor: 6.937

10.  A logic-based method to build signaling networks and propose experimental plans.

Authors:  Adrien Rougny; Pauline Gloaguen; Nathalie Langonné; Eric Reiter; Pascale Crépieux; Anne Poupon; Christine Froidevaux
Journal:  Sci Rep       Date:  2018-05-18       Impact factor: 4.379

  10 in total

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