IMPACT

IMproving Protein Annotation and Co-ordination through Technology

 Coordinatore EUROPEAN MOLECULAR BIOLOGY LABORATORY 

 Organization address address: MEYERHOFSTRASSE
city: HEIDELBERG
postcode: 69117

contact info
Titolo: Mr.
Nome: Keith
Cognome: Williamson
Email: send email
Telefono: +49 62213878295
Fax: +49 62213878211

 Nazionalità Coordinatore Germany [DE]
 Sito del progetto http://www.csr-impact.eu
 Totale costo 3˙776˙219 €
 EC contributo 3˙000˙000 €
 Programma FP7-INFRASTRUCTURES
Specific Programme "Capacities": Research infrastructures
 Code Call FP7-INFRASTRUCTURES-2007-1
 Funding Scheme CPCSA
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-01-01   -   2011-06-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    EUROPEAN MOLECULAR BIOLOGY LABORATORY

 Organization address address: MEYERHOFSTRASSE
city: HEIDELBERG
postcode: 69117

contact info
Titolo: Mr.
Nome: Keith
Cognome: Williamson
Email: send email
Telefono: +49 62213878295
Fax: +49 62213878211

DE (HEIDELBERG) coordinator 0.00
2    GENOME RESEARCH LIMITED

 Organization address address: THE GIBBS BUILDING, EUSTON ROAD 215
city: LONDON
postcode: NW1 2BE

contact info
Titolo: MR
Nome: DAVID
Cognome: DAVISON
Email: send email
Telefono: +44 1223 494937
Fax: +44 1223 494947

UK (LONDON) participant 0.00
3    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

 Organization address address: DOMAINE DE VOLUCEAU
city: LE CHESNAY
postcode: 78153

contact info
Titolo: Mr
Nome: Cedric
Cognome: DI TOFANO ORLANDO
Email: send email
Telefono: +334 7661 5491
Fax: +334 7661 5455

FR (LE CHESNAY) participant 0.00
4    SWISS INSTITUTE OF BIOINFORMATICS

 Organization address address: CMU, MICHEL-SERVET 1
city: GENEVE
postcode: 1211

contact info
Titolo: Mrs
Nome: Nicole
Cognome: Cornuz
Email: send email
Telefono: +41 21 692 4050
Fax: +41 21 692 4055

CH (GENEVE) participant 0.00
5    THE UNIVERSITY OF MANCHESTER

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000
Fax: 441613000000

UK (MANCHESTER) participant 0.00
6    UNIVERSITY COLLEGE LONDON

 Organization address address: GOWER STREET
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Mr
Nome: Kent
Cognome: Lee
Email: send email
Telefono: +44 2076796296
Fax: +44 2076796502

UK (LONDON) participant 0.00
7    UNIVERSITY OF BRISTOL

 Organization address address: SENATE HOUSE, TYNDALL AVENUE
city: BRISTOL
postcode: BS8 1TH

contact info
Titolo: Dr.
Nome: Julian
Cognome: Gough
Email: send email
Telefono: +44 117 3315221
Fax: +44 117 9545208

UK (BRISTOL) participant 0.00
8    UNIVERSITY OF CAPE TOWN

 Organization address address: PRIVATE BAG X3
city: RONDEBOSCH
postcode: 7701

contact info
Titolo: Mr
Nome: Roger
Cognome: Wallace
Email: send email
Telefono: 27216504718
Fax: 27216505778

ZA (RONDEBOSCH) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

databases    functionality    technologies    limited    das    public    services    functional    protein    function    resource    interpro    annotation    embrace    classification    data   

 Obiettivo del progetto (Objective)

New DNA sequencing and metagenomics projects are increasing the flow of poorly annotated raw sequence data into public databases with limited annotation. At the same time, users are imposing increasing demands on databases to include functional and contextual information, and to facilitate linking to other databases. Recent advances in technologies for achieving this and enabling complex querying and analysis are now well established, including services such as DAS and Web services. Of the traditional protein functional classification resources, arguably the best known and most used is the InterPro database and its accompanying software, InterProScan. InterPro is an integrated documentation resource for protein families, domains and functional sites, which unifies data from 10 major signature databases into a single resource. It provides a means of small- and large-scale protein functional classification and annotation, adding value through its cross-references to GO, 3D structure data, and specialized protein family information. Despite the success of InterPro and its contributing databases, however, lack of funding recently has limited our collective ability to keep up with the ever-increasing flood of new data and emergence of new function-related data sources, and to fully embrace technologies such as DAS. This proposal aims to address these limitations and drive InterPro and its member databases into a sustainable future. This will be achieved through improved coordination of Consortium activities and infrastructures; by better interaction with our users, and increased functionality to better meet the needs of existing users, and to embrace more advanced users. Our focus for the future is on new protein signatures to increase coverage and depth of protein space, faster turn-around in providing data to the public, interoperability with new protein function and pathway databases, and increased functionality of our interface to cater for beginner and expert users.

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