EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments Export

@incollection{haslam09, abstract = {EpiC is a web resource for choosing epitopes for use in antibody based experiments. It integrates a suite of tools to identify the subsequence of a target protein that a binder interacts with. Where the binder is an antibody this subsequence is termed an epitope, i.e. the region of a protein that an antibody specifically recognises. EpiC is part of the Europe-wide project ProteomeBinders, thats aims to develop a resource of binding molecules for the entire Human Proteome. EpiC has a simple interactive web interface that provides experimentalists with an integrated suite of bioinformatic tools and annotation information. Crucially this neither requires the user to download any specialist software nor develop scripting tools. Given the diversity of applications for affinity reagents, it is important that the resource provides relevant information dependent on the type of experiment being carried out. It is important to note that researchers often require multiple different binders for one protein and different binders for use in different experiments. EpiC achieves access to these wide range of tools using state of the art methods of data integration. Webservices and REST interfaces such as the Distributed Annotation System are used to deliver the information to the user. These ensure that the latest versions of the analysis software and annotation are displayed to the user, relieving the user of the need to keep up to date with the latest databases and software.}, author = {Haslam, Niall and Gibson, Toby}, citeulike-article-id = {5458734}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-02879-3_14}, citeulike-linkout-1 = {http://www.springerlink.com/content/f6847xgj11020tn6}, doi = {10.1007/978-3-642-02879-3_14}, journal = {Data Integration in the Life Sciences}, keywords = {af, affinity, affinity-proteomics, annotation, antibodypedia, antigen, antigen-prediction, antigenicity, bioactive-peptides, bioinformatics, cross-identifier, cross-reference, das, database, distributed-computing, epitope, epitope-selection, epitopes, exchange-format, immunoinformatics, modular-architecture, peptides, phospho-epitope, prediction, proteomebinders, proteomics, psi-par, tools, webservices}, pages = {173--181}, posted-at = {2009-08-18 10:18:47}, priority = {0}, title = {EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments}, url = {http://dx.doi.org/10.1007/978-3-642-02879-3_14}, year = {2009} }

TY - CHAP ID - haslam09 L3 - citeulike-article-id:5458734 N2 - EpiC is a web resource for choosing epitopes for use in antibody based experiments. It integrates a suite of tools to identify the subsequence of a target protein that a binder interacts with. Where the binder is an antibody this subsequence is termed an epitope, i.e. the region of a protein that an antibody specifically recognises. EpiC is part of the Europe-wide project ProteomeBinders, thats aims to develop a resource of binding molecules for the entire Human Proteome. EpiC has a simple interactive web interface that provides experimentalists with an integrated suite of bioinformatic tools and annotation information. Crucially this neither requires the user to download any specialist software nor develop scripting tools. Given the diversity of applications for affinity reagents, it is important that the resource provides relevant information dependent on the type of experiment being carried out. It is important to note that researchers often require multiple different binders for one protein and different binders for use in different experiments. EpiC achieves access to these wide range of tools using state of the art methods of data integration. Webservices and REST interfaces such as the Distributed Annotation System are used to deliver the information to the user. These ensure that the latest versions of the analysis software and annotation are displayed to the user, relieving the user of the need to keep up to date with the latest databases and software. JF - Data Integration in the Life Sciences EP - 181 TI - EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments SP - 173 KW - af KW - affinity KW - affinity-proteomics KW - annotation KW - antibodypedia KW - antigen KW - antigen-prediction KW - antigenicity KW - bioactive-peptides KW - bioinformatics KW - cross-identifier KW - cross-reference KW - das KW - database KW - distributed-computing KW - epitope KW - epitope-selection KW - epitopes KW - exchange-format KW - immunoinformatics KW - modular-architecture KW - peptides KW - phospho-epitope KW - prediction KW - proteomebinders KW - proteomics KW - psi-par KW - tools KW - webservices AU - Haslam, Niall AU - Gibson, Toby PY - 2009/// UR - http://dx.doi.org/10.1007/978-3-642-02879-3_14 ER -