Literature DB >> 15271782

GeneNetwork: an interactive tool for reconstruction of genetic networks using microarray data.

Chia-Chin Wu1, Hsuan-Cheng Huang, Hsueh-Fen Juan, Shui-Tein Chen.   

Abstract

UNLABELLED: Inferring genetic network architecture from time series data generated from high-throughput experimental technologies, such as cDNA microarray, can help us to understand the system behavior of living organisms. We have developed an interactive tool, GeneNetwork, which provides four reverse engineering models and three data interpolation approaches to infer relationships between genes. GeneNetwork enables a user to readily reconstruct genetic networks based on microarray data without having intimate knowledge of the mathematical models. A simple graphical user interface enables rapid, intuitive mapping and analysis of the reconstructed network allowing biologists to explore gene relationships at the system level. AVAILABILITY: Download from http://genenetwork.sbl.bc.sinica.edu.tw/. SUPPLEMENTARY INFORMATION: Supplement documentation of algorithms for the four approaches is downloadable at the above location.

Mesh:

Year:  2004        PMID: 15271782     DOI: 10.1093/bioinformatics/bth428

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


  12 in total

1.  Protein kinase Cα (PKCα) regulates p53 localization and melanoma cell survival downstream of integrin αv in three-dimensional collagen and in vivo.

Authors:  Stephen D Smith; Martin Enge; Wenjie Bao; Minna Thullberg; Tânia D F Costa; Helene Olofsson; Behxhet Gashi; Galina Selivanova; Staffan Strömblad
Journal:  J Biol Chem       Date:  2012-07-06       Impact factor: 5.157

2.  Genes that code for T cell signaling proteins establish transcriptional regulatory networks during thymus ontogeny.

Authors:  Cláudia Macedo; Danielle A Magalhães; Monique Tonani; Márcia C Marques; Cristina M Junta; Geraldo A S Passos
Journal:  Mol Cell Biochem       Date:  2008-07-03       Impact factor: 3.396

Review 3.  An overview of bioinformatics methods for modeling biological pathways in yeast.

Authors:  Jie Hou; Lipi Acharya; Dongxiao Zhu; Jianlin Cheng
Journal:  Brief Funct Genomics       Date:  2015-10-17       Impact factor: 4.241

Review 4.  Use of pathway information in molecular epidemiology.

Authors:  Duncan C Thomas; David V Conti; James Baurley; Frederik Nijhout; Michael Reed; Cornelia M Ulrich
Journal:  Hum Genomics       Date:  2009-10       Impact factor: 4.639

5.  Hierarchical modularity in ERα transcriptional network is associated with distinct functions and implicates clinical outcomes.

Authors:  Binhua Tang; Hang-Kai Hsu; Pei-Yin Hsu; Russell Bonneville; Su-Shing Chen; Tim H-M Huang; Victor X Jin
Journal:  Sci Rep       Date:  2012-11-19       Impact factor: 4.379

6.  Identification of transcriptional regulatory networks specific to pilocytic astrocytoma.

Authors:  Hrishikesh Deshmukh; Jinsheng Yu; Jahangheer Shaik; Tobey J MacDonald; Arie Perry; Jacqueline E Payton; David H Gutmann; Mark A Watson; Rakesh Nagarajan
Journal:  BMC Med Genomics       Date:  2011-07-11       Impact factor: 3.063

7.  Allelic variation and differential expression of the mSIN3A histone deacetylase complex gene Arid4b promote mammary tumor growth and metastasis.

Authors:  Scott F Winter; Luanne Lukes; Renard C Walker; Danny R Welch; Kent W Hunter
Journal:  PLoS Genet       Date:  2012-05-31       Impact factor: 5.917

8.  LOCATE: a mouse protein subcellular localization database.

Authors:  J Lynn Fink; Rajith N Aturaliya; Melissa J Davis; Fasheng Zhang; Kelly Hanson; Melvena S Teasdale; Chikatoshi Kai; Jun Kawai; Piero Carninci; Yoshihide Hayashizaki; Rohan D Teasdale
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

9.  Regulatory network reconstruction using an integral additive model with flexible kernel functions.

Authors:  Eugene Novikov; Emmanuel Barillot
Journal:  BMC Syst Biol       Date:  2008-01-24

10.  Enabling network inference methods to handle missing data and outliers.

Authors:  Abel Folch-Fortuny; Alejandro F Villaverde; Alberto Ferrer; Julio R Banga
Journal:  BMC Bioinformatics       Date:  2015-09-03       Impact factor: 3.169

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