An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets
Abstract
BACKGROUND: The exploration of microarray data and data from other high-throughput projects for hypothesis generation has become a vital aspect of post-genomic research. For the non-bioinformatics specialist, however, many of the currently available tools provide overwhelming amounts of data that are presented in a non-intuitive way. METHODOLOGY/PRINCIPAL FINDINGS: In order to facilitate the interpretation and analysis of microarray data and data from other large-scale data sets, we have developed a tool, which we have dubbed the electronic Fluorescent Pictograph - or eFP - Browser, available at http://www.bar.utoronto.ca/, for exploring microarray and other data for hypothesis generation. This eFP Browser…
Citation impact
- FWCI
- 25.43
- Percentile
- 100%
- References
- 22
Authors
6- DWDebbie Winter
University of Toronto
- BVBen Vinegar
University of Toronto
- HKHardeep K. Nahal-Bose
University of Toronto
- RARon Ammar
University of Toronto
- GWGreg Wilson
University of Toronto
Topics & keywords
- Microarray databases
- Computer science
- Microarray analysis techniques
- Arabidopsis
- Big data
- Scale (ratio)
- Data mining
- Data science