Literature DB >> 15972013

The Integr8 project--a resource for genomic and proteomic data.

Manuela Pruess1, Paul Kersey, Rolf Apweiler.   

Abstract

Integr8 (http://www.ebi.ac.uk/integr8/) is providing an integration layer for the exploitation of genomic and proteomic data by drawing on databases maintained at major bioinformatics centres in Europe. Main aims are to store the relationships of biological entities to each other and to entries in other databases, to provide a framework that allows for new kinds of data to be integrated, and to offer an entity-centric view of complete genomes and proteomes. Basic tools for data integration comprise the Proteome Analysis database, the International Protein Index (IPI), the Universal Protein sequence archive (UniParc) and the Genome Reviews. Entry points for the Integr8 portal depend on the users entity of interest: from browsing the taxonomy or with a predetermined species of interest, the species page can be used, and a simple search page leads to different applications when looking for certain protein sequences or genes. Customisable statistics data are available from the BioMart application, and pre-prepared data can be downloaded from the FTP site.

Mesh:

Year:  2005        PMID: 15972013

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  16 in total

1.  Semantic integration of data on transcriptional regulation.

Authors:  Michael Baitaluk; Julia Ponomarenko
Journal:  Bioinformatics       Date:  2010-04-28       Impact factor: 6.937

2.  Chromatographic alignment of LC-MS and LC-MS/MS datasets by genetic algorithm feature extraction.

Authors:  Magnus Palmblad; Davinia J Mills; Laurence V Bindschedler; Rainer Cramer
Journal:  J Am Soc Mass Spectrom       Date:  2007-07-26       Impact factor: 3.109

3.  The human phylome.

Authors:  Jaime Huerta-Cepas; Hernán Dopazo; Joaquín Dopazo; Toni Gabaldón
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

4.  Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs.

Authors:  Khalid Mahmood; Geoffrey I Webb; Jiangning Song; James C Whisstock; Arun S Konagurthu
Journal:  Nucleic Acids Res       Date:  2011-12-30       Impact factor: 16.971

5.  The Genomic HyperBrowser: inferential genomics at the sequence level.

Authors:  Geir K Sandve; Sveinung Gundersen; Halfdan Rydbeck; Ingrid K Glad; Lars Holden; Marit Holden; Knut Liestøl; Trevor Clancy; Egil Ferkingstad; Morten Johansen; Vegard Nygaard; Eivind Tøstesen; Arnoldo Frigessi; Eivind Hovig
Journal:  Genome Biol       Date:  2010-12-23       Impact factor: 13.583

6.  The UniProt-GO Annotation database in 2011.

Authors:  Emily C Dimmer; Rachael P Huntley; Yasmin Alam-Faruque; Tony Sawford; Claire O'Donovan; Maria J Martin; Benoit Bely; Paul Browne; Wei Mun Chan; Ruth Eberhardt; Michael Gardner; Kati Laiho; Duncan Legge; Michele Magrane; Klemens Pichler; Diego Poggioli; Harminder Sehra; Andrea Auchincloss; Kristian Axelsen; Marie-Claude Blatter; Emmanuel Boutet; Silvia Braconi-Quintaje; Lionel Breuza; Alan Bridge; Elizabeth Coudert; Anne Estreicher; Livia Famiglietti; Serenella Ferro-Rojas; Marc Feuermann; Arnaud Gos; Nadine Gruaz-Gumowski; Ursula Hinz; Chantal Hulo; Janet James; Silvia Jimenez; Florence Jungo; Guillaume Keller; Phillippe Lemercier; Damien Lieberherr; Patrick Masson; Madelaine Moinat; Ivo Pedruzzi; Sylvain Poux; Catherine Rivoire; Bernd Roechert; Michael Schneider; Andre Stutz; Shyamala Sundaram; Michael Tognolli; Lydie Bougueleret; Ghislaine Argoud-Puy; Isabelle Cusin; Paula Duek-Roggli; Ioannis Xenarios; Rolf Apweiler
Journal:  Nucleic Acids Res       Date:  2011-11-28       Impact factor: 16.971

7.  QServer: a biclustering server for prediction and assessment of co-expressed gene clusters.

Authors:  Fengfeng Zhou; Qin Ma; Guojun Li; Ying Xu
Journal:  PLoS One       Date:  2012-03-05       Impact factor: 3.240

8.  Generation and Analysis of Large-Scale Data-Driven Mycobacterium tuberculosis Functional Networks for Drug Target Identification.

Authors:  Gaston K Mazandu; Nicola J Mulder
Journal:  Adv Bioinformatics       Date:  2011-11-29

9.  Function prediction and analysis of mycobacterium tuberculosis hypothetical proteins.

Authors:  Gaston K Mazandu; Nicola J Mulder
Journal:  Int J Mol Sci       Date:  2012-06-13       Impact factor: 6.208

10.  Predicting and analyzing interactions between Mycobacterium tuberculosis and its human host.

Authors:  Holifidy A Rapanoel; Gaston K Mazandu; Nicola J Mulder
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

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