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AMDA: an R package for the automated microarray data analysis
- Source :
- BMC Bioinformatics, Vol 7, Iss 1, p 335 (2006), BMC Bioinformatics
- Publication Year :
- 2006
- Publisher :
- Springer Science and Business Media LLC, 2006.
-
Abstract
- Background Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and new experiments are constantly being performed. In spite of this fact, few and limited tools exist for quickly and easily analyzing the results. Microarray analysis can be challenging for researchers without the necessary training and it can be time-consuming for service providers with many users. Results To address these problems we have developed an automated microarray data analysis (AMDA) software, which provides scientists with an easy and integrated system for the analysis of Affymetrix microarray experiments. AMDA is free and it is available as an R package. It is based on the Bioconductor project that provides a number of powerful bioinformatics and microarray analysis tools. This automated pipeline integrates different functions available in the R and Bioconductor projects with newly developed functions. AMDA covers all of the steps, performing a full data analysis, including image analysis, quality controls, normalization, selection of differentially expressed genes, clustering, correspondence analysis and functional evaluation. Finally a LaTEX document is dynamically generated depending on the performed analysis steps. The generated report contains comments and analysis results as well as the references to several files for a deeper investigation. Conclusion AMDA is freely available as an R package under the GPL license. The package as well as an example analysis report can be downloaded in the Services/Bioinformatics section of the Genopolis http://www.genopolis.it/
- Subjects :
- Microarray
Computer science
Information Storage and Retrieval
lcsh:Computer applications to medicine. Medical informatics
computer.software_genre
Biochemistry
Pattern Recognition, Automated
Evolution, Molecular
Structural Biology
Database Management System
Cluster Analysis
Microarray databases
lcsh:QH301-705.5
Molecular Biology
Oligonucleotide Array Sequence Analysis
Cluster Analysi
Oligonucleotide Array Sequence Analysi
Microarray analysis techniques
Gene Expression Profiling
Applied Mathematics
MED/04 - PATOLOGIA GENERALE
Computational Biology
Programming Language
Computer Science Applications
Gene expression profiling
R package
ComputingMethodologies_PATTERNRECOGNITION
lcsh:Biology (General)
Data Interpretation, Statistical
Gene chip analysis
Database Management Systems
lcsh:R858-859.7
Programming Languages
Data mining
DNA microarray
computer
Software
Algorithms
Subjects
Details
- ISSN :
- 14712105
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.doi.dedup.....dea8ac30fb28810101a3575dcc8b6aff
- Full Text :
- https://doi.org/10.1186/1471-2105-7-335