Flexible web-based integration of distributed large-scale human protein interaction maps

@article{citeulike:2708070, abstract = {Protein-protein interactions constitute the backbone of many molecular processes. This has motivated the recent construction of several large-scale human protein-protein interaction maps. Although these maps clearly offer a wealth of information, their use is challenging: complexity, rapid growth, and fragmentation of interaction data hamper their usability. To overcome these hurdles, we have developed a publicly accessible database termed UniHI (Unified Human Interactome) for integration of human protein-protein interaction data. This database is designed to provide biomedical researchers a common platform for exploring previously disconnected human interaction maps. UniHI offers researchers flexible integrated tools for accessing comprehensive information about the human interactome. Several features included in the UniHI allow users to perform various types of network-oriented and functional analysis. At present, UniHI contains over 160,000 distinct interactions between 17,000 unique proteins from ten major interaction maps derived by both computational and experimental approaches. Here we describe the details of the implementation and maintenance of UniHI and discuss the challenges that have to be addressed for a successful integration of interaction data.}, author = {Chaurasia, Gautam and Iqbal, Yasir and H\"{a}nig, Christian and Herzel, Hanspeter and Wanker, Erich E. and Futschik, Matthias E. }, citeulike-article-id = {2708070}, journal = {Journal of Integrative Bioinformatics}, keywords = {bioinformatics, database, data\_integration, human, interactions, protein-protein, tools}, number = {1}, pages = {51--61}, posted-at = {2008-04-23 17:13:15}, priority = {0}, title = {Flexible web-based integration of distributed large-scale human protein interaction maps}, volume = {4}, year = {2007} }

TY - JOUR ID - citeulike:2708070 L3 - citeulike-article-id:2708070 TI - Flexible web-based integration of distributed large-scale human protein interaction maps JF - Journal of Integrative Bioinformatics VL - 4 IS - 1 SP - 51 EP - 61 N2 - Protein-protein interactions constitute the backbone of many molecular processes. This has motivated the recent construction of several large-scale human protein-protein interaction maps. Although these maps clearly offer a wealth of information, their use is challenging: complexity, rapid growth, and fragmentation of interaction data hamper their usability. To overcome these hurdles, we have developed a publicly accessible database termed UniHI (Unified Human Interactome) for integration of human protein-protein interaction data. This database is designed to provide biomedical researchers a common platform for exploring previously disconnected human interaction maps. UniHI offers researchers flexible integrated tools for accessing comprehensive information about the human interactome. Several features included in the UniHI allow users to perform various types of network-oriented and functional analysis. At present, UniHI contains over 160,000 distinct interactions between 17,000 unique proteins from ten major interaction maps derived by both computational and experimental approaches. Here we describe the details of the implementation and maintenance of UniHI and discuss the challenges that have to be addressed for a successful integration of interaction data. KW - bioinformatics KW - database KW - data_integration KW - human KW - interactions KW - protein-protein KW - tools AU - Chaurasia, Gautam AU - Iqbal, Yasir AU - Hänig, Christian AU - Herzel, Hanspeter AU - Wanker, Erich AU - Futschik, Matthias PY - 2007/// ER -