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UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome

Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive...

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Detalles Bibliográficos
Autores principales: Chaurasia, Gautam, Malhotra, Soniya, Russ, Jenny, Schnoegl, Sigrid, Hänig, Christian, Wanker, Erich E., Futschik, Matthias E.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686569/
https://www.ncbi.nlm.nih.gov/pubmed/18984619
http://dx.doi.org/10.1093/nar/gkn841
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author Chaurasia, Gautam
Malhotra, Soniya
Russ, Jenny
Schnoegl, Sigrid
Hänig, Christian
Wanker, Erich E.
Futschik, Matthias E.
author_facet Chaurasia, Gautam
Malhotra, Soniya
Russ, Jenny
Schnoegl, Sigrid
Hänig, Christian
Wanker, Erich E.
Futschik, Matthias E.
author_sort Chaurasia, Gautam
collection PubMed
description Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ∼22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies.
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spelling pubmed-26865692009-05-26 UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome Chaurasia, Gautam Malhotra, Soniya Russ, Jenny Schnoegl, Sigrid Hänig, Christian Wanker, Erich E. Futschik, Matthias E. Nucleic Acids Res Articles Human protein interaction maps have become important tools of biomedical research for the elucidation of molecular mechanisms and the identification of new modulators of disease processes. The Unified Human Interactome database (UniHI, http://www.unihi.org) provides researchers with a comprehensive platform to query and access human protein–protein interaction (PPI) data. Since its first release, UniHI has considerably increased in size. The latest update of UniHI includes over 250 000 interactions between ∼22 300 unique proteins collected from 14 major PPI sources. However, this wealth of data also poses new challenges for researchers due to the complexity of interaction networks retrieved from the database. We therefore developed several new tools to query, analyze and visualize human PPI networks. Most importantly, UniHI allows now the construction of tissue-specific interaction networks and focused querying of canonical pathways. This will enable researchers to target their analysis and to prioritize candidate proteins for follow-up studies. Oxford University Press 2009-01 2008-11-04 /pmc/articles/PMC2686569/ /pubmed/18984619 http://dx.doi.org/10.1093/nar/gkn841 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Chaurasia, Gautam
Malhotra, Soniya
Russ, Jenny
Schnoegl, Sigrid
Hänig, Christian
Wanker, Erich E.
Futschik, Matthias E.
UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title_full UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title_fullStr UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title_full_unstemmed UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title_short UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome
title_sort unihi 4: new tools for query, analysis and visualization of the human protein–protein interactome
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686569/
https://www.ncbi.nlm.nih.gov/pubmed/18984619
http://dx.doi.org/10.1093/nar/gkn841
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