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Nucleic Acids Research | 2016

2016 update of the PRIDE database and its related tools

Juan Antonio Vizcaíno; Attila Csordas; Noemi del-Toro; Jose Ángel Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob

The PRoteomics IDEntifications (PRIDE) database is one of the world-leading data repositories of mass spectrometry (MS)-based proteomics data. Since the beginning of 2014, PRIDE Archive (http://www.ebi.ac.uk/pride/archive/) is the new PRIDE archival system, replacing the original PRIDE database. Here we summarize the developments in PRIDE resources and related tools since the previous update manuscript in the Database Issue in 2013. PRIDE Archive constitutes a complete redevelopment of the original PRIDE, comprising a new storage backend, data submission system and web interface, among other components. PRIDE Archive supports the most-widely used PSI (Proteomics Standards Initiative) data standard formats (mzML and mzIdentML) and implements the data requirements and guidelines of the ProteomeXchange Consortium. The wide adoption of ProteomeXchange within the community has triggered an unprecedented increase in the number of submitted data sets (around 150 data sets per month). We outline some statistics on the current PRIDE Archive data contents. We also report on the status of the PRIDE related stand-alone tools: PRIDE Inspector, PRIDE Converter 2 and the ProteomeXchange submission tool. Finally, we will give a brief update on the resources under development ‘PRIDE Cluster’ and ‘PRIDE Proteomes’, which provide a complementary view and quality-scored information of the peptide and protein identification data available in PRIDE Archive.


Nucleic Acids Research | 2010

The IntAct molecular interaction database in 2010

Samuel Kerrien; Bruno Aranda; L Breuza; Alan Bridge; Fiona Broackes-Carter; Carol Chen; Margaret Duesbury; Marine Dumousseau; Marc Feuermann; Ursula Hinz; Christine Jandrasits; Rafael C. Jimenez; Jyoti Khadake; Usha Mahadevan; Patrick Masson; Ivo Pedruzzi; Eric Pfeiffenberger; Pablo Porras; Arathi Raghunath; Bernd Roechert; Sandra Orchard; Henning Hermjakob

IntAct is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. Two levels of curation are now available within the database, with both IMEx-level annotation and less detailed MIMIx-compatible entries currently supported. As from September 2011, IntAct contains approximately 275u2009000 curated binary interaction evidences from over 5000 publications. The IntAct website has been improved to enhance the search process and in particular the graphical display of the results. New data download formats are also available, which will facilitate the inclusion of IntActs data in the Semantic Web. IntAct is an active contributor to the IMEx consortium (http://www.imexconsortium.org). IntAct source code and data are freely available at http://www.ebi.ac.uk/intact.


Nucleic Acids Research | 2014

The Reactome pathway knowledgebase

Antonio Fabregat; Konstantinos Sidiropoulos; Phani Garapati; Marc Gillespie; Kerstin Hausmann; Robin Haw; Bijay Jassal; Steven Jupe; Florian Korninger; Sheldon J. McKay; Lisa Matthews; Bruce May; Marija Milacic; Karen Rothfels; Veronica Shamovsky; Marissa Webber; Joel Weiser; Mark A. Williams; Guanming Wu; Lincoln Stein; Henning Hermjakob; Peter D'Eustachio

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.


Nucleic Acids Research | 2010

The Proteomics Identifications database: 2010 update

Juan Antonio Vizcaíno; Richard G. Côté; Florian Reisinger; Harald Barsnes; Joseph M. Foster; Jonathan Rameseder; Henning Hermjakob; Lennart Martens

The Proteomics Identifications database (PRIDE, http://www.ebi.ac.uk/pride) at the European Bioinformatics Institute has become one of the main repositories of mass spectrometry-derived proteomics data. For the last 2 years, PRIDE data holdings have grown substantially, comprising 60 different species, more than 2.5 million protein identifications, 11.5 million peptides and over 50 million spectra by September 2009. We here describe several new and improved features in PRIDE, including the revised submission process, which now includes direct submission of fragment ion annotations. Correspondingly, it is now possible to visualize spectrum fragmentation annotations on tandem mass spectra, a key feature for compliance with journal data submission requirements. We also describe recent developments in the PRIDE BioMart interface, which now allows integrative queries that can join PRIDE data to a growing number of biological resources such as Reactome, Ensembl, InterPro and UniProt. This ability to perform extremely powerful across-domain queries will certainly be a cornerstone of future bioinformatics analyses. Finally, we highlight the importance of data sharing in the proteomics field, and the corresponding integration of PRIDE with other databases in the ProteomExchange consortium.


BMC Bioinformatics | 2006

The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries.

Richard Côté; Philip Jones; Rolf Apweiler; Henning Hermjakob

BackgroundWith the vast amounts of biomedical data being generated by high-throughput analysis methods, controlled vocabularies and ontologies are becoming increasingly important to annotate units of information for ease of search and retrieval. Each scientific community tends to create its own locally available ontology. The interfaces to query these ontologies tend to vary from group to group. We saw the need for a centralized location to perform controlled vocabulary queries that would offer both a lightweight web-accessible user interface as well as a consistent, unified SOAP interface for automated queries.ResultsThe Ontology Lookup Service (OLS) was created to integrate publicly available biomedical ontologies into a single database. All modified ontologies are updated daily. A list of currently loaded ontologies is available online. The database can be queried to obtain information on a single term or to browse a complete ontology using AJAX. Auto-completion provides a user-friendly search mechanism. An AJAX-based ontology viewer is available to browse a complete ontology or subsets of it. A programmatic interface is available to query the webservice using SOAP. The service is described by a WSDL descriptor file available online. A sample Java client to connect to the webservice using SOAP is available for download from SourceForge. All OLS source code is publicly available under the open source Apache Licence.ConclusionThe OLS provides a user-friendly single entry point for publicly available ontologies in the Open Biomedical Ontology (OBO) format. It can be accessed interactively or programmatically at http://www.ebi.ac.uk/ontology-lookup/.


Molecular & Cellular Proteomics | 2012

The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results

Andrew R. Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer A. Siepen; Simon J. Hubbard; Julian N. Selley; Brian C. Searle; James Shofstahl; Sean L. Seymour; Randall K. Julian; Pierre Alain Binz; Eric W. Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew C. Chambers; Angel Pizarro; David M. Creasy

We report the release of mzIdentML, an exchange standard for peptide and protein identification data, designed by the Proteomics Standards Initiative. The format was developed by the Proteomics Standards Initiative in collaboration with instrument and software vendors, and the developers of the major open-source projects in proteomics. Software implementations have been developed to enable conversion from most popular proprietary and open-source formats, and mzIdentML will soon be supported by the major public repositories. These developments enable proteomics scientists to start working with the standard for exchanging and publishing data sets in support of publications and they provide a stable platform for bioinformatics groups and commercial software vendors to work with a single file format for identification data.


Nucleic Acids Research | 2017

The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

Eric W. Deutsch; Attila Csordas; Zhi Sun; Andrew F. Jarnuczak; Yasset Perez-Riverol; Tobias Ternent; David S. Campbell; Manuel Bernal-Llinares; Shujiro Okuda; Shin Kawano; Robert L. Moritz; Jeremy J. Carver; Mingxun Wang; Yasushi Ishihama; Nuno Bandeira; Henning Hermjakob; Juan Antonio Vizcaíno

The ProteomeXchange (PX) Consortium of proteomics resources (http://www.proteomexchange.org) was formally started in 2011 to standardize data submission and dissemination of mass spectrometry proteomics data worldwide. We give an overview of the current consortium activities and describe the advances of the past few years. Augmenting the PX founding members (PRIDE and PeptideAtlas, including the PASSEL resource), two new members have joined the consortium: MassIVE and jPOST. ProteomeCentral remains as the common data access portal, providing the ability to search for data sets in all participating PX resources, now with enhanced data visualization components. We describe the updated submission guidelines, now expanded to include four members instead of two. As demonstrated by data submission statistics, PX is supporting a change in culture of the proteomics field: public data sharing is now an accepted standard, supported by requirements for journal submissions resulting in public data release becoming the norm. More than 4500 data sets have been submitted to the various PX resources since 2012. Human is the most represented species with approximately half of the data sets, followed by some of the main model organisms and a growing list of more than 900 diverse species. Data reprocessing activities are becoming more prominent, with both MassIVE and PeptideAtlas releasing the results of reprocessed data sets. Finally, we outline the upcoming advances for ProteomeXchange.


Nucleic Acids Research | 2010

The Ontology Lookup Service: bigger and better

Richard G. Côté; Florian Reisinger; Lennart Martens; Harald Barsnes; Juan Antonio Vizcaíno; Henning Hermjakob

The Ontology Lookup Service (OLS; http://www.ebi.ac.uk/ols) has been providing several means to query, browse and navigate biomedical ontologies and controlled vocabularies since it first went into production 4 years ago, and usage statistics indicate that it has become a heavily accessed service with millions of hits monthly. The volume of data available for querying has increased 7-fold since its inception. OLS functionality has been integrated into several high-usage databases and data entry tools. Improvements in the data model and loaders, as well as interface enhancements have made the OLS easier to use and capture more annotations from the source data. In addition, newly released software packages now provide easy means to fully integrate OLS functionality in external applications.


Molecular & Cellular Proteomics | 2013

Tools (Viewer, Library and Validator) that Facilitate Use of the Peptide and Protein Identification Standard Format, Termed mzIdentML

Fawaz Ghali; Ritesh Krishna; Pieter Lukasse; Salvador Martínez-Bartolomé; Florian Reisinger; Henning Hermjakob; Juan Antonio Vizcaíno; Andrew R. Jones

The Proteomics Standards Initiative has recently released the mzIdentML data standard for representing peptide and protein identification results, for example, created by a search engine. When a new standard format is produced, it is important that software tools are available that make it straightforward for laboratory scientists to use it routinely and for bioinformaticians to embed support in their own tools. Here we report the release of several open-source Java-based software packages based on mzIdentML: ProteoIDViewer, mzidLibrary, and mzidValidator. The ProteoIDViewer is a desktop application allowing users to visualize mzIdentML-formatted results originating from any appropriate identification software; it supports visualization of all the features of the mzIdentML format. The mzidLibrary is a software library containing routines for importing data from external search engines, post-processing identification data (such as false discovery rate calculations), combining results from multiple search engines, performing protein inference, setting identification thresholds, and exporting results from mzIdentML to plain text files. The mzidValidator is able to process files and report warnings or errors if files are not correctly formatted or contain some semantic error. We anticipate that these developments will simplify adoption of the new standard in proteomics laboratories and the integration of mzIdentML into other software tools. All three tools are freely available in the public domain.


Database | 2011

The Reactome BioMart

Robin Haw; David Croft; Christina K. Yung; Nelson Ndegwa; Peter D'Eustachio; Henning Hermjakob; Lincoln Stein

Reactome is an open source, expert-authored, manually curated and peer-reviewed database of reactions, pathways and biological processes. We provide an intuitive web-based user interface to pathway knowledge and a suite of data analysis tools. The Reactome BioMart provides biologists and bioinformaticians with a single web interface for performing simple or elaborate queries of the Reactome database, aggregating data from different sources and providing an opportunity to integrate experimental and computational results with information relating to biological pathways. Database URL: http://www.reactome.org

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Sandra Orchard

European Bioinformatics Institute

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Lincoln Stein

Ontario Institute for Cancer Research

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Juan Antonio Vizcaíno

European Bioinformatics Institute

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Samuel Kerrien

European Bioinformatics Institute

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Luisa Montecchi-Palazzi

University of Rome Tor Vergata

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Antonio Fabregat

European Bioinformatics Institute

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Rafael C. Jimenez

European Bioinformatics Institute

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Peipei Ping

University of California

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