Dataset Information

The Iccare web server: an attempt to merge sequence and mapping information for plant and animal species.

ABSTRACT: The Iccare web server, http://genopole.toulouse.inra.fr/bioinfo/Iccare, provides a simple yet efficient tool for crude EST (expressed sequence tag) annotation specifically dedicated to comparative mapping approaches. Iccare uses all the EST and mRNA sequences from public databases for an organism of interest (query species) and compares them to all the transcripts of one reference organism (Homo sapiens or Arabidopsis thaliana). The results are displayed according to the location of the genes on the chromosomes of the reference organism. Gene structure information and sequence similarities are combined in a graphical representation in order to pinpoint the nature of the transcript query sequence. The user can subsequently design primers or probes for the purpose of physical or genetic mapping. In addition to the query organisms already available in Iccare, users can perform a tailor-made search with their own sequences against the animal or plant reference organism genes.

SUBMITTER: Muller C

PROVIDER: S-EPMC441598 | biostudies-literature | 2004 Jul

REPOSITORIES: biostudies-literature

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The Iccare web server: an attempt to merge sequence and mapping information for plant and animal species.

Muller Cédric C Denis Mathieu M Gentzbittel Laurent L Faraut Thomas T

Nucleic acids research 20040701 Web Server issue

The Iccare web server, http://genopole.toulouse.inra.fr/bioinfo/Iccare, provides a simple yet efficient tool for crude EST (expressed sequence tag) annotation specifically dedicated to comparative mapping approaches. Iccare uses all the EST and mRNA sequences from public databases for an organism of interest (query species) and compares them to all the transcripts of one reference organism (Homo sapiens or Arabidopsis thaliana). The results are displayed according to the location of the genes on ...[more]

PMID: 15215424

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Project description:BackgroundThe study of gene families is pivotal for the understanding of gene evolution across different organisms and such phylogenetic background is often used to infer biochemical functions of genes. Modern high-throughput experiments offer the possibility to analyze the entire transcriptome of an organism; however, it is often difficult to deduct functional information from that data.ResultsTo improve functional interpretation of gene expression we introduce Ortho2ExpressMatrix, a novel tool that integrates complex gene family information, computed from sequence similarity, with comparative gene expression profiles of two pre-selected biological objects: gene families are displayed with two-dimensional matrices. Parameters of the tool are object type (two organisms, two individuals, two tissues, etc.), type of computational gene family inference, experimental meta-data, microarray platform, gene annotation level and genome build. Family information in Ortho2ExpressMatrix bases on computationally different protein family approaches such as EnsemblCompara, InParanoid, SYSTERS and Ensembl Family. Currently, respective all-against-all associations are available for five species: human, mouse, worm, fruit fly and yeast. Additionally, microRNA expression can be examined with respect to miRBase or TargetScan families. The visualization, which is typical for Ortho2ExpressMatrix, is performed as matrix view that displays functional traits of genes (differential expression) as well as sequence similarity of protein family members (BLAST e-values) in colour codes. Such translations are intended to facilitate the user's perception of the research object.ConclusionsOrtho2ExpressMatrix integrates gene family information with genome-wide expression data in order to enhance functional interpretation of high-throughput analyses on diseases, environmental factors, or genetic modification or compound treatment experiments. The tool explores differential gene expression in the light of orthology, paralogy and structure of gene families up to the point of ambiguity analyses. Results can be used for filtering and prioritization in functional genomic, biomedical and systems biology applications. The web server is freely accessible at http://bioinf-data.charite.de/o2em/cgi-bin/o2em.pl.

Dataset Information

The Iccare web server: an attempt to merge sequence and mapping information for plant and animal species.

Publications

The Iccare web server: an attempt to merge sequence and mapping information for plant and animal species.

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