Pablo Marin-Garcia

TL;DR: 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.

TL;DR: The Neo4j graph database and its query language, Cypher, provide efficient access to the complex Reactome data model, facilitating easy traversal and knowledge discovery and the Reactome graph database use case shows the power of NoSQL database engines for complex biological data types.

TL;DR: The authors describe the EGA policies and infrastructure, how access decisions are made, methods for data submission and future plans for expansion of this database.

TL;DR: This paper provides a detailed description of the sources of data and the methods for creating the Ensembl variation databases, and explores the utility of the information by explaining the range of query options available, from using interactive web displays, to online data mining tools and connecting directly to the data servers programmatically.

TL;DR: The results demonstrate that obese patients could be discriminated by their specific fungal composition, which also distinguished metabolically “healthy" from “unhealthy” obesity, and suggest that manipulation of gut mycobiome communities might be a novel target in the treatment of obesity.