Literature DB >> 19892805

GATE: software for the analysis and visualization of high-dimensional time series expression data.

Ben D MacArthur1, Alexander Lachmann, Ihor R Lemischka, Avi Ma'ayan.   

Abstract

SUMMARY: We present Grid Analysis of Time series Expression (GATE), an integrated computational software platform for the analysis and visualization of high-dimensional biomolecular time series. GATE uses a correlation-based clustering algorithm to arrange molecular time series on a two-dimensional hexagonal array and dynamically colors individual hexagons according to the expression level of the molecular component to which they are assigned, to create animated movies of systems-level molecular regulatory dynamics. In order to infer potential regulatory control mechanisms from patterns of correlation, GATE also allows interactive interroga-tion of movies against a wide variety of prior knowledge datasets. GATE movies can be paused and are interactive, allowing users to reconstruct networks and perform functional enrichment analyses. Movies created with GATE can be saved in Flash format and can be inserted directly into PDF manuscript files as interactive figures. AVAILABILITY: GATE is available for download and is free for academic use from http://amp.pharm.mssm.edu/maayan-lab/gate.htm

Mesh:

Substances:

Year:  2009        PMID: 19892805      PMCID: PMC2796822          DOI: 10.1093/bioinformatics/btp628

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


  10 in total

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Journal:  Bioinformatics       Date:  2003-11-22       Impact factor: 6.937

2.  Discovering molecular pathways from protein interaction and gene expression data.

Authors:  E Segal; H Wang; D Koller
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3.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
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4.  Identification of functional modules using network topology and high-throughput data.

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Journal:  BMC Syst Biol       Date:  2007-01-26

5.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

6.  STEM: a tool for the analysis of short time series gene expression data.

Authors:  Jason Ernst; Ziv Bar-Joseph
Journal:  BMC Bioinformatics       Date:  2006-04-05       Impact factor: 3.169

7.  KEA: kinase enrichment analysis.

Authors:  Alexander Lachmann; Avi Ma'ayan
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

8.  A data-driven clustering method for time course gene expression data.

Authors:  Ping Ma; Cristian I Castillo-Davis; Wenxuan Zhong; Jun S Liu
Journal:  Nucleic Acids Res       Date:  2006-03-01       Impact factor: 16.971

9.  Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases.

Authors:  Seth I Berger; Jeremy M Posner; Avi Ma'ayan
Journal:  BMC Bioinformatics       Date:  2007-10-04       Impact factor: 3.169

10.  Conditional clustering of temporal expression profiles.

Authors:  Ling Wang; Monty Montano; Matt Rarick; Paola Sebastiani
Journal:  BMC Bioinformatics       Date:  2008-03-11       Impact factor: 3.169

  10 in total
  18 in total

1.  Expression2Kinases: mRNA profiling linked to multiple upstream regulatory layers.

Authors:  Edward Y Chen; Huilei Xu; Simon Gordonov; Maribel P Lim; Matthew H Perkins; Avi Ma'ayan
Journal:  Bioinformatics       Date:  2011-11-10       Impact factor: 6.937

2.  Network2Canvas: network visualization on a canvas with enrichment analysis.

Authors:  Christopher M Tan; Edward Y Chen; Ruth Dannenfelser; Neil R Clark; Avi Ma'ayan
Journal:  Bioinformatics       Date:  2013-06-07       Impact factor: 6.937

3.  Systematic tracking of cell fate changes.

Authors:  Jonghwan Kim; Stuart H Orkin
Journal:  Nat Biotechnol       Date:  2010-02       Impact factor: 54.908

4.  Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.

Authors:  Andrew D Rouillard; Zichen Wang; Avi Ma'ayan
Journal:  Comput Biol Chem       Date:  2015-10       Impact factor: 2.877

5.  TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal.

Authors:  Yulia Newton; Adam M Novak; Teresa Swatloski; Duncan C McColl; Sahil Chopra; Kiley Graim; Alana S Weinstein; Robert Baertsch; Sofie R Salama; Kyle Ellrott; Manu Chopra; Theodore C Goldstein; David Haussler; Olena Morozova; Joshua M Stuart
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

6.  Regulation of embryonic and induced pluripotency by aurora kinase-p53 signaling.

Authors:  Dung-Fang Lee; Jie Su; Yen-Sin Ang; Xonia Carvajal-Vergara; Sonia Mulero-Navarro; Carlos F Pereira; Julian Gingold; Hung-Liang Wang; Ruiying Zhao; Ana Sevilla; Henia Darr; Andrew J K Williamson; Betty Chang; Xiaohong Niu; Francesca Aguilo; Elsa R Flores; Yuh-Pyng Sher; Mien-Chie Hung; Anthony D Whetton; Bruce D Gelb; Kateri A Moore; Hans-Willem Snoeck; Avi Ma'ayan; Christoph Schaniel; Ihor R Lemischka
Journal:  Cell Stem Cell       Date:  2012-08-03       Impact factor: 24.633

7.  DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data.

Authors:  Marcel H Schulz; William E Devanny; Anthony Gitter; Shan Zhong; Jason Ernst; Ziv Bar-Joseph
Journal:  BMC Syst Biol       Date:  2012-08-16

8.  Arena3D: visualizing time-driven phenotypic differences in biological systems.

Authors:  Maria Secrier; Georgios A Pavlopoulos; Jan Aerts; Reinhard Schneider
Journal:  BMC Bioinformatics       Date:  2012-03-22       Impact factor: 3.169

9.  Prenatal lead levels, plasma amyloid β levels, and gene expression in young adulthood.

Authors:  Maitreyi Mazumdar; Weiming Xia; Oliver Hofmann; Matthew Gregas; Shannan Ho Sui; Winston Hide; Ting Yang; Herbert L Needleman; David C Bellinger
Journal:  Environ Health Perspect       Date:  2012-02-07       Impact factor: 9.031

10.  Identification of nuclear protein targets for six leukemogenic tyrosine kinases governed by post-translational regulation.

Authors:  Andrew Pierce; Andrew Williamson; Ewa Jaworska; John R Griffiths; Sam Taylor; Michael Walker; Mark Aspinall-O'Dea; Mark Aspinall O'Dea; Elaine Spooncer; Richard D Unwin; Toryn Poolman; David Ray; Anthony D Whetton
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

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