Abstract
Background
SPIEDw is a web tool designed to facilitate fast and simple quantitative querying of publically available gene expression data. The resource is motivated by the observation that transcriptional profiles can serve as effective means of comparing biological states across a wide set of experiments.
Results
Gene expression data for over 200,000 experiments across multiple species and platforms have been collected into a searchable database. The new resource is a development of the previously published SPIED, which was designed to be downloaded and queried locally with SPIED software. SPIEDw features three significant improvements over the original version. Firstly, the number of experiments covered has been doubled and now includes Agilent and Illumina technologies. Secondly, SPIEDw has an enhanced search algorithm for speedy web-based querying and lastly an abridged dataset comprising the most regulated genes has been included for a speedier search and searching for enrichment of gene sets.
Conclusions
SPIEDw is simple to use, not requiring any expertise in microarray analysis, and the output straightforward to interpret. It is hoped that this will open up gene expression data mining to the wider research community.
SPIEDw is a web tool designed to facilitate fast and simple quantitative querying of publically available gene expression data. The resource is motivated by the observation that transcriptional profiles can serve as effective means of comparing biological states across a wide set of experiments.
Results
Gene expression data for over 200,000 experiments across multiple species and platforms have been collected into a searchable database. The new resource is a development of the previously published SPIED, which was designed to be downloaded and queried locally with SPIED software. SPIEDw features three significant improvements over the original version. Firstly, the number of experiments covered has been doubled and now includes Agilent and Illumina technologies. Secondly, SPIEDw has an enhanced search algorithm for speedy web-based querying and lastly an abridged dataset comprising the most regulated genes has been included for a speedier search and searching for enrichment of gene sets.
Conclusions
SPIEDw is simple to use, not requiring any expertise in microarray analysis, and the output straightforward to interpret. It is hoped that this will open up gene expression data mining to the wider research community.
| Original language | English |
|---|---|
| Article number | 765 |
| Pages (from-to) | N/A |
| Number of pages | 6 |
| Journal | BMC GENOMICS |
| Volume | 14 |
| Issue number | N/A |
| DOIs | |
| Publication status | Published - 7 Nov 2013 |