Name
Abstract | ||
|---|---|---|
Through the use of highly optimised, in-memory data structures and algorithms, Reactome has achieved a stable, high performance pathway analysis service, enabling the analysis of genome-wide datasets within seconds, allowing interactive exploration and analysis of high throughput data. The proposed pathway analysis approach is available in the Reactome production web site either via the AnalysisService for programmatic access or the user submission interface integrated into the PathwayBrowser. Reactome is an open data and open source project and all of its source code, including the one described here, is available in the AnalysisTools repository in the Reactome GitHub ( https://github.com/reactome/ ). |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1559-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Data structures,Over-representation analysis,Pathway analysis | Data mining,Lookup table,Data structure,Identifier,Visualization,Computer science,Source code,Radix tree,Software,Bioinformatics,Memory footprint | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
5 | 0.49 | 9 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Fabregat | 1 | 60 | 7.42 |
| Konstantinos Sidiropoulos | 2 | 27 | 4.96 |
| Guilherme Viteri | 3 | 12 | 1.93 |
| Oscar Forner-Martinez | 4 | 19 | 1.53 |
| Pablo Marín-García | 5 | 18 | 2.98 |
| Arnau, V. | 6 | 13 | 1.91 |
| Peter D'Eustachio | 7 | 5 | 0.82 |
| Lincoln D. Stein | 8 | 1555 | 247.25 |
| Henning Hermjakob | 9 | 2433 | 304.84 |