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.