annotationTools

annotationTools annotates and integrates heterogeneous microarray gene expression data by mining flat file molecular biology databases and identifying orthologs to support cross-species and cross-platform analyses.


Key Features:

  • Annotation of Microarrays: Systematically mines flat file databases to annotate microarray probes with molecular biology information.
  • Ortholog Identification and Cross-Species Analysis: Identifies orthologs across species using multiple orthology databases and maps probes from different species onto a common framework.
  • Cross-Platform Data Integration: Integrates gene expression profiles from multiple microarray platforms using annotations from flat file databases to enable cross-platform comparisons.
  • Exploratory Comparative Analysis: Supports comparative analysis of transcriptional changes by comparing human patient data with genetic animal model datasets to explore disease-related expression patterns.

Scientific Applications:

  • Comparative Genomics: Maps orthologous genes across species to support studies of evolutionary conservation and functional inference.
  • Translational Research: Enables comparison of gene expression profiles between human subjects and animal models to investigate disease mechanisms and potential targets.
  • Data Validation and Reproducibility: Facilitates integration of heterogeneous datasets across microarray platforms to support validation and reproducibility of findings.

Methodology:

Mining and parsing flat file molecular biology databases to extract annotations; using multiple orthology databases to identify orthologs and map probes across species; integrating gene expression profiles across microarray platforms via extracted annotations; provided as a Bioconductor-compliant R package with specialized functions for systematic extraction and utilization of these data sources.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/24/2018

Operations

Publications

Kuhn A, Luthi-Carter R, Delorenzi M. Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'. BMC Bioinformatics. 2008;9(1). doi:10.1186/1471-2105-9-26. PMID:18201381. PMCID:PMC2267709.

Documentation

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