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Genevestigator v3: a reference expression database for the meta-analysis of transcriptomes.

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TLDR
Genevestigator V3 is a novel meta-analysis system resulting from new algorithmic and software development using a client/server architecture, large-scale manual curation and quality control of microarray data for several organisms, and curation of pathway data for mouse and Arabidopsis.
Abstract
The Web-based software tool Genevestigator provides powerful tools for biologists to explore gene expression across a wide variety of biological contexts. Its first releases, however, were limited by the scaling ability of the system architecture, multiorganism data storage and analysis capability, and availability of computationally intensive analysis methods. Genevestigator V3 is a novel meta-analysis system resulting from new algorithmic and software development using a client/server architecture, large-scale manual curation and quality control of microarray data for several organisms, and curation of pathway data for mouse and Arabidopsis. In addition to improved querying features, Genevestigator V3 provides new tools to analyze the expression of genes in many different contexts, to identify biomarker genes, to cluster genes into expression modules, and to model expression responses in the context of metabolic and regulatory networks. Being a reference expression database with user-friendly tools, Genevestigator V3 facilitates discovery research and hypothesis validation.

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Sugar transporters for intercellular exchange and nutrition of pathogens

TL;DR: Using optical glucose sensors, a new class of sugar transporters are identified, named SWEETs, and it is shown that at least six out of seventeen Arabidopsis, two out of over twenty rice and two of seven homologues in Caenorhabditis elegans, and the single copy human protein, mediate glucose transport.
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The plant heat stress transcription factor (Hsf) family: structure, function and evolution.

TL;DR: Data is compiled for 252 Hsfs from nine plant species (five eudicots and four monocots) with complete or almost complete genome sequences that provide interesting insights into phylogenetic relationships within the Hsf family in plants and allows the refinement of their classification into distinct groups.
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The role of gibberellin signalling in plant responses to abiotic stress

TL;DR: The evidence for the role of GA in these processes, and the regulation of the GA signalling pathway on exposure to abiotic stress are reviewed, are reviewed.
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Catalase function in plants: a focus on Arabidopsis mutants as stress-mimic models

TL;DR: This review provides an update on plant catalase genes, function, and subcellular localization, with a focus on recent information generated from studies on Arabidopsis.
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A Peptide Hormone and Its Receptor Protein Kinase Regulate Plant Cell Expansion

TL;DR: A signaling system important in the regulation of plant cell size during development is identified and a signaling chain that links a secreted peptide, RALF (rapid alkalinization factor), with its receptor kinase, FERONIA, at the cell surface is identified.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Journal ArticleDOI

GENEVESTIGATOR. Arabidopsis Microarray Database and Analysis Toolbox

TL;DR: Genevestigator as mentioned in this paper is a web-browser interface for gene expression analysis using Affymetrix GeneChip data, which allows users to retrieve the expression patterns of individual genes throughout chosen environmental conditions, growth stages, or organs.
Journal ArticleDOI

NCBI GEO: mining millions of expression profiles—database and tools

TL;DR: Recent database developments that facilitate effective mining and visualization of gene expression data are described, providing features to examine data from both experiment- and gene-centric perspectives using user-friendly Web-based interfaces accessible to those without computational or microarray-related analytical expertise.
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