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iRefIndex is a PSIMex partner: http://www.psimex.org http://www.imexconsortium.org.

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	About iRefIndex iRefIndex provides an index of protein interactions available in a number of primary interaction databases including BIND, BioGRID, CORUM, DIP, HPRD, IntAct, MINT, MPact, MPPI and OPHID. Read more
	Download Download iRefIndex version 8.0 in PSI-MITAB tab-delimited format via FTP.
	iRefScape iRefScape is a plugin for Cytoscape that exposes iRefIndex data as a navigable graphical network.
	iRefWeb iRefWeb provides a searchable web interface to the iRefIndex.
	iRefR An R package providing access to iRefIndex data.
	Web-services iRefIndex PSICQUIC web services are now running on release 8.0 of iRefIndex
	iRefIndex Videos
	Contact info
	Additional information on the iRefIndex database Source data sets: http://irefindex.uio.no/wiki/Sources_iRefIndex_8.0 Statistics: http://irefindex.uio.no/wiki/Statistics_iRefIndex_8.0 Build process: iRefIndex_Manual Feedback files: README_iRefIndex_Feedback_8.0 Normalization of MI cv terms: Mapping_of_terms_to_MI_term_ids_-_iRefIndex_8.0 Canonicalization: Canonicalization All iRefIndex pages and Archived releases: see below License and disclaimer: see below
	Credits, publications, citing, and citations A listing of those responsible for developing and maintaining the database, iRefIndex related publications, references for source databases and works citing and using the iRefIndex. Details here: iRefIndex_Citations
	DiG: Disease Groups http://donaldson.uio.no/wiki/DiG:_Disease_groups The Disease Groups project groups together phenotypically related disease-gene associations found in OMIM's Morbid Map. The resulting map of disease genes may be used to explore relationships between disease genes in the human protein-interactome. Disease groups can be searched on using the iRefScape plugin for Cytoscape.
	iRefIndex is a PSIMex partner: http://www.psimex.org
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A reference index for protein interaction data

iRefIndex provides an index of protein interactions available in a number of primary interaction databases including BIND, BioGRID, CORUM, DIP, HPRD, IntAct, MINT, MPact, MPPI and OPHID. This index includes multiple interaction types including physical and genetic (mapped to their corresponding protein products) as determined by a multitude of methods. This index allows the user to search for a protein and retrieve a non-redundant list of interactors for that protein.

iRefIndex assigns a global unique identifier (rigid) which looks like 'tjWXXjgPyHyT2J6EwED8zK2x18U' to identify interactions that are identical (according to the sequence and taxon ids of the interactors). iRefIndex also assigns similar looking keys to protein interactors. These keys are global meaning they can be generated by anyone using the method described in the paper. This method allows users to integrate their own data with the iRefIndex in a way that ensures proteins with the exact same sequence will be represented only once.

Publications

iRefIndex: a consolidated protein interaction database with provenance. BMC Bioinformatics. 2008 Available here.

iRefWeb: interactive analysis of consolidated protein interaction data and their supporting evidence. Database. 2010 Available here

Literature curation of protein interactions: measuring agreement across major public databases. Database. 2010 Available here

Interaction databases on the same page. Nature Biotechnology. 2011. Available here

PSICQUIC and PSISCORE: accessing and scoring molecular interactions. Nature Methods. 2011. Available here

iRefScape. A Cytoscape plug-in for visualization and data mining of protein interaction data from iRefIndex.Available here

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Long term goals of the iRefIndex project

We believe that protein interaction data hold incredible potential for biomedical research. Presently, these data are collected and archived by multiple groups around the world and the number of groups taking part in this work is growing rather than diminishing.

As such, it is important that these databases have the means to effectively exchange and compare data and that they are curating and representing data using similar standards in order to make their data accessible and allow effective use.

To this end, the iRefIndex project has three long term objectives:

1) to facilitate exchange of interaction data between interaction databases.

The iRefIndex paper describes a method for assigning unique and global identifiers to protein interactors, interactions and complexes. This method is independent of the iRefIndex resource and may be used by anyone to facilitate exchange and consolidation of data.

2) to consolidate interaction data from multiple sources.

The method has been used by to index interaction records from multiple sources. The resulting iRefIndex may be used search for the existence of interaction data for any protein regardless of the original resource. Nine interaction databases have been incorporated so far, others will follow.

3) to provide feedback to source interaction databases.

During the process of data consolidation, iRefIndex uses a sophisticated method to keep track of potential problems with source records such as outdated or unfound protein identifiers or incorrectly assigned taxonomy identifiers. These data are provided as feedback files to source interaction databases for correction, clarification or improvements to our own system. This process will help to harmonize data representation and improve the overall quality of interaction records for all source databases. This process will also help source databases to exchange data with one another.

iRefIndex availability via download

All iRefIndex data is provided as a tab-delimited text file in PSI-MITAB format.

Data is available via anonymous FTP at:

ftp://ftp.no.embnet.org/irefindex/data

Username: ftp

Password: enter anonymous or your e-mail address

Note	iRefIndex data is now provided as a tab-delimited text file in PSI-MITAB 2.6 format. The format is described at:

http://irefindex.uio.no/wiki/README_MITAB2.6_for_iRefIndex_8.0

iRefIndex data is provided as a single file or in a number of data sets specific to the organism in which the interaction occurs. See the above link for details.

Source data for the current build

is described at

http://irefindex.uio.no/wiki/Sources_iRefIndex_8.0

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iRefWeb: Data availability via web interface

iRefWeb provides a searchable web interface to the iRefIndex. iRefWeb also provides visualization of statistics related to iRefIndex and allows users to compare annotation of the same publication by multiple interaction databases.

http://wodaklab.org/iRefWeb/

Please see the upper right hand corner of the iRefWeb front page for the version of iRefIndex that iRefWeb is using.

The iRefWeb paper is available here.

iRefWeb in the NCBI LinkOut programme

Many Entrez Gene records provided by NCBI contain links to iRefWeb in the LinkOut section, allowing users to consult iRefWeb for related protein interactions when browsing gene information. The software which exposes iRefIndex information to the LinkOut programme can be found on the iRefWeb LinkOut Generator page.

iRefScape: Data availability via Cytoscape

iRefScape is a plugin for Cytoscape that exposes iRefIndex data as a navigable graphical network. See the iRefScape page for documentation and installation instructions.

Sign up for the Google Groups email list (below) to be informed of the official release and updates.

iRefR: Data availability via R

iRefR is an R package that provides access to iRefIndex. Recently submitted to CRAN and also available from ftp://ftp.no.embnet.org/irefindex/iRefR/current/

PSICQUIC: Data availability via Web services

These services provide programmatic access to iRefIndex data as well as many other interaction databases. A publication in Nature Methods describes the services and is available here.

These services are based on a template from the IntAct group at EBI that was developed and implemented by a consortium of authors and interaction database groups. A related interface called PSISCORE, provides programmatic access to interaction data scoring methods.

README PSICQUIC web services for iRefIndex

iRefIndex PSICQUIC web services are now running on release 8.0 of iRefIndex

Feedback files

We provide feedback to source databases about our data integration process. These files are described here :

README_iRefIndex_Feedback_8.0

In some cases, we normalize interaction type and detection method to the MI controlled vocabulary. Details here:

Mapping_of_terms_to_MI_term_ids_-_iRefIndex_8.0

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License

Data released on the public FTP site is released under Creative Commons Attribution License http://creativecommons.org/licenses/by/2.5/

Disclaimer

Data is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

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Statistics

Statistics for the iRefIndex include a breakdown of interactors and interactions from each data source.

For statistics on full public dataset (distributed on the FTP site contains) please refer to: http://irefindex.uio.no/wiki/Statistics_iRefIndex_8.0

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Credits

The iRefIndex was developed at the Biotechnology Centre of Oslo, University of Oslo in the Donaldson lab by Sabry Razick and Ian Donaldson. Paul Boddie provides ongoing maintenance and development support. George Magklaras provides systems engineer support and EMBNet Norway provided hardware support.

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Citation

iRefIndex has been published and is available here. If you use iRefIndex, please cite:

Razick S, Magklaras G, Donaldson IM: iRefIndex: A consolidated protein interaction database with provenance. BMC Bioinformatics. 2008. 9(1):405 PMID 18823568.

Please also cite the source databases described below. iRefIndex consolidates protein interaction data from...

• BIND [1], [2],
• BioGRID [3],
• CORUM [14],
• DIP [4],
• HPRD [5], [6],
• IntAct [7], [8],
• MINT [9],
• MPact [10],
• MPPI [11] and
• OPHID [12].

iRefIndex uses SEGUID based identifiers to group proteins into redundant groups. The SEGUID algorithm and database are described in [13].

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References

1. Bader GD, Betel D, Hogue CW: BIND: the Biomolecular Interaction Network Database. Nucleic Acids Res 2003, 31(1):248-250.

2. Alfarano C, Andrade CE, Anthony K, Bahroos N, Bajec M, Bantoft K, Betel D, Bobechko B, Boutilier K, Burgess E et al: The Biomolecular Interaction Network Database and related tools 2005 update. Nucleic Acids Res 2005, 33(Database issue):D418-424.

3. Stark C, Breitkreutz BJ, Reguly T, Boucher L, Breitkreutz A, Tyers M: BioGRID: a general repository for interaction datasets. Nucleic Acids Res 2006, 34(Database issue):D535-539.

4. Salwinski L, Miller CS, Smith AJ, Pettit FK, Bowie JU, Eisenberg D: The Database of Interacting Proteins: 2004 update. Nucleic Acids Res 2004, 32(Database issue):D449-451.

5. Peri S, Navarro JD, Amanchy R, Kristiansen TZ, Jonnalagadda CK, Surendranath V, Niranjan V, Muthusamy B, Gandhi TK, Gronborg M et al: Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res 2003, 13(10):2363-2371.

6. Mishra GR, Suresh M, Kumaran K, Kannabiran N, Suresh S, Bala P, Shivakumar K, Anuradha N, Reddy R, Raghavan TM et al: Human protein reference database--2006 update. Nucleic Acids Res 2006, 34(Database issue):D411-414.

7. Hermjakob H, Montecchi-Palazzi L, Lewington C, Mudali S, Kerrien S, Orchard S, Vingron M, Roechert B, Roepstorff P, Valencia A et al: IntAct: an open source molecular interaction database. Nucleic Acids Res 2004, 32(Database issue):D452-455.

8. Kerrien S, Alam-Faruque Y, Aranda B, Bancarz I, Bridge A, Derow C, Dimmer E, Feuermann M, Friedrichsen A, Huntley R et al: IntAct--open source resource for molecular interaction data. Nucleic Acids Res 2007, 35(Database issue):D561-565.

9. Chatr-aryamontri A, Ceol A, Palazzi LM, Nardelli G, Schneider MV, Castagnoli L, Cesareni G: MINT: the Molecular INTeraction database. Nucleic Acids Res 2007, 35(Database issue):D572-574.

10. Guldener U, Munsterkotter M, Oesterheld M, Pagel P, Ruepp A, Mewes HW, Stumpflen V: MPact: the MIPS protein interaction resource on yeast. Nucleic Acids Res 2006, 34(Database issue):D436-441.

11. Pagel P, Kovac S, Oesterheld M, Brauner B, Dunger-Kaltenbach I, Frishman G, Montrone C, Mark P, Stumpflen V, Mewes HW et al: The MIPS mammalian protein-protein interaction database. Bioinformatics 2005, 21(6):832-834.

12. Brown KR, Jurisica I: Online predicted human interaction database. Bioinformatics 2005, 21(9):2076-2082.

13. Babnigg G, Giometti CS: A database of unique protein sequence identifiers for proteome studies. Proteomics 2006, 6(16):4514-4522

14. Andreas Ruepp, Barbara Brauner, Irmtraud Dunger-Kaltenbach, Goar Frishman, Corinna Montrone, Michael Stransky, Brigitte Waegele, Thorsten Schmidt, Octave Noubibou Doudieu, Volker Stümpflen, H. Werner Mewes: CORUM: the Comprehensive Resource of Mammalian Protein Complexes. Nucleic Acids Res. 2008 Jan 1; 36(Database issue):D

Citations

Some studies that have made use of the iRefIndex are listed on the iRefIndex Citations page.

Other Resources

A collection of resources related to finding and working with protein interaction data: Protein Interaction Resources.

Contact

Suggestions, requests and comments are welcome. Please email

ian.donaldson at biotek.uio.no.

Visiting and mail address info is here.

iRefIndex Google Group

Join the iRefIndex Google group and receive announcement emails and discuss issues related to iRefIndex. Sign up at irefindex google group.

All iRefIndex Pages

Follow this link for a listing of all iRefIndex related pages (archived and current).