The Reactome Pathway Knowledgebase.
Antonio Fabregat,Konstantinos Sidiropoulos,Phani V. Garapati,Marc Gillespie,Marc Gillespie,Kerstin Hausmann,Robin Haw,Bijay Jassal,S Jupe,Florian Korninger,Sheldon J. McKay,Lisa Matthews,Bruce May,Marija Milacic,Karen Rothfels,Veronica Shamovsky,Marissa Webber,Joel Weiser,Mark Williams,Guanming Wu,Lincoln Stein,Lincoln Stein,Lincoln Stein,Henning Hermjakob,Henning Hermjakob,Peter D'Eustachio +25 more
TLDR
The Reactome Knowledgebase provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data model.Abstract:
The Reactome Knowledgebase (www.reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations-an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression pattern surveys or somatic mutation catalogues from tumour cells. Over the last two years we redeveloped major components of the Reactome web interface to improve usability, responsiveness and data visualization. A new pathway diagram viewer provides a faster, clearer interface and smooth zooming from the entire reaction network to the details of individual reactions. Tool performance for analysis of user datasets has been substantially improved, now generating detailed results for genome-wide expression datasets within seconds. The analysis module can now be accessed through a RESTFul interface, facilitating its inclusion in third party applications. A new overview module allows the visualization of analysis results on a genome-wide Reactome pathway hierarchy using a single screen page. The search interface now provides auto-completion as well as a faceted search to narrow result lists efficiently.read more
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STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.
Damian Szklarczyk,Annika L. Gable,David Lyon,Alexander Junge,Stefan Wyder,Jaime Huerta-Cepas,Milan Simonovic,Nadezhda Tsankova Doncheva,John H. Morris,Peer Bork,Lars Juhl Jensen,Christian von Mering +11 more
TL;DR: The latest version of STRING more than doubles the number of organisms it covers, and offers an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input.
Journal ArticleDOI
STRING v10: protein–protein interaction networks, integrated over the tree of life
Damian Szklarczyk,Andrea Franceschini,Stefan Wyder,Kristoffer Forslund,Davide Heller,Jaime Huerta-Cepas,Milan Simonovic,Alexander Roth,Alberto Santos,Kalliopi Tsafou,Michael Kuhn,Peer Bork,Lars Juhl Jensen,Christian von Mering +13 more
TL;DR: H hierarchical and self-consistent orthology annotations are introduced for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution in the STRING database.
Journal ArticleDOI
Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.
Yingyao Zhou,Bin Zhou,Lars Pache,Max W. Chang,Alireza Hadj Khodabakhshi,Olga Tanaseichuk,Christopher Benner,Sumit K. Chanda +7 more
TL;DR: A biologist-oriented portal that provides a gene list annotation, enrichment and interactome resource and enables integrated analysis of multi-OMICs datasets, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
Journal ArticleDOI
The Perseus computational platform for comprehensive analysis of (prote)omics data.
Stefka Tyanova,Tikira Temu,Pavel Sinitcyn,Arthur Carlson,Marco Y. Hein,Tamar Geiger,Matthias Mann,Jürgen Cox +7 more
TL;DR: The Perseus software platform was developed to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data and it is anticipated that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
Journal ArticleDOI
The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.
Damian Szklarczyk,Annika L. Gable,Katerina C. Nastou,David Lyon,Rebecca Kirsch,Sampo Pyysalo,Nadezhda Tsankova Doncheva,Marc Legeay,Tao Fang,Peer Bork,Lars Juhl Jensen,Christian von Mering +11 more
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.
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