期刊
BMC BIOINFORMATICS
卷 18, 期 -, 页码 -出版社
BIOMED CENTRAL LTD
DOI: 10.1186/s12859-017-1559-2
关键词
Pathway analysis; Over-representation analysis; Data structures
类别
资金
- National Institutes of Health BD2K grant [U54 GM114833]
- European Bioinformatics Institute (EMBL-EBI)
- Open Targets (The target validation platform)
- National Human Genome Research Institute at the National Institutes of Health [U41 HG003751]
- Ontario Research (GL2) Fund
- National Institutes of Health [U54 GM114833]
Background: Reactome aims to provide bioinformatics tools for visualisation, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modelling, systems biology and education. Pathway analysis methods have a broad range of applications in physiological and biomedical research; one of the main problems, from the analysis methods performance point of view, is the constantly increasing size of the data samples. Results: Here, we present a new high-performance in-memory implementation of the well-established overrepresentation analysis method. To achieve the target, the over-representation analysis method is divided in four different steps and, for each of them, specific data structures are used to improve performance and minimise the memory footprint. The first step, finding out whether an identifier in the user's sample corresponds to an entity in Reactome, is addressed using a radix tree as a lookup table. The second step, modelling the proteins, chemicals, their orthologous in other species and their composition in complexes and sets, is addressed with a graph. The third and fourth steps, that aggregate the results and calculate the statistics, are solved with a double-linked tree. Conclusion: 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
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