Rebecca Kirsch

TL;DR: Changes to the text-mining system, a new scoring-mode for physical interactions, as well as extensive user interface features for customizing, extending and sharing protein networks are described.

TL;DR: STRING as mentioned in this paper collects and integrates protein-protein interactions, both physical interactions as well as functional associations, from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources.

TL;DR: This work reanalyzes a series of published RNA-seq data sets, screening them specifically for non-contiguously mapping reads, and recovers most of the known cases together with several novel archaeal ncRNAs associated with circularized products.

TL;DR: The eggNOG 6.0 as discussed by the authors database provides a hierarchy of over 17M orthologous groups (OGs) computed at 1601 taxonomic levels, spanning 10 756 bacterial, 457 archaeal and 1322 eukaryotic organisms.

TL;DR: The stringApp 2.0 as mentioned in this paper improves the support for heterogeneous networks and provides new functionality that makes it possible to create networks that contain proteins and interactions from STRING as well as other biological entities and associations from other sources.