Demo Data from EDBT 2026 / reviewers in the wild / expert
Rachel Lyne
dblp:21/11246
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-8050-402XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 50% Query processing and optimization · 50% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
biological data integration |
0.1 | 1 | 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012 |
Data integration and cleaning
heterogeneous data integration |
0.0 | 1 | 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
r package integration · 0.4web services · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | InterMineR: an R package for InterMine databasesabstractSUMMARY: InterMineR is a package designed to provide a flexible interface between the R programming environment and biological databases built using the InterMine platform. The package offers access to the flexible query builder and the library of term enrichment tools of the InterMine framework, as well as interoperability with other Bioconductor packages. This facilitates automation of data retrieval tasks as well as downstream analysis with existing statistical tools in the R environment. AVAILABILITY AND IMPLEMENTATION: InterMineR is free and open source, released under the LGPL licence and available from the Bioconductor project and Github (https://bioconductor.org/packages/release/bioc/html/InterMineR.html, https://github.com/intermine/interMineR). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Konstantinos A. Kyritsis, Julie M. Sullivan, Rachel Lyne, Gos Micklem |
Bioinform. | 4 |
| 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological dataabstractSUMMARY: InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. AVAILABILITY: Freely available from http://www.intermine.org under the LGPL license. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Richard N. Smith, Jelena Aleksic, Daniela Butano, Adrian Carr, Sergio Contrino, Fengyuan Hu, Mike Lyne, Rachel Lyne, Alex Kalderimis, Kim Rutherford, Radek Stepan, Julie M. Sullivan, Matthew Wakeling, Xavier Watkins, Gos Micklem |
Bioinform. | 8 |