Proteome Data Integration: Characteristics and Challenges

Khalid Belhajjame; Suzanne Embury; Hao Fan; Carole Goble; Henning Hermjakob; Simon Hubbard; D Jones; P Jones; N Martin; Stephen Oliver; C Orengo; Norman Paton; Alexandra Poulovassilis; Jennifer Siepen; Robert Stevens; Chris Taylor; N Vinod; Lucas Zamboulis; Weimin Zhu

Proteome Data Integration: Characteristics and Challenges

Khalid Belhajjame, Suzanne Embury, Hao Fan, Carole Goble, Henning Hermjakob, Simon Hubbard, D Jones, P Jones, N Martin, Stephen Oliver, C Orengo, Norman Paton, Alexandra Poulovassilis, Jennifer Siepen, Robert Stevens, Chris Taylor, N Vinod, Lucas Zamboulis, Weimin Zhu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The aim of the ISPIDER project is to create a proteomics grid; that is, a technical platform that supports bioinformaticians in constructing, executing and evaluating in silico analyses of proteomics data. It will be constructed using a combination of generic e-science and Grid technologies, plus proteomics specific components and clients that embody knowledge of the proteomics domain and the available resources. In this paper, we describe some of our earlier results in prototyping specific examples of proteomics data integration, and draw from it lessons about the kinds of domain-specific components that will be required.

Original language	English
Title of host publication	All Hands Meeting
Publication status	Published - Sep 2005

Cite this

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title = "Proteome Data Integration: Characteristics and Challenges",

abstract = "The aim of the ISPIDER project is to create a proteomics grid; that is, a technical platform that supports bioinformaticians in constructing, executing and evaluating in silico analyses of proteomics data. It will be constructed using a combination of generic e-science and Grid technologies, plus proteomics specific components and clients that embody knowledge of the proteomics domain and the available resources. In this paper, we describe some of our earlier results in prototyping specific examples of proteomics data integration, and draw from it lessons about the kinds of domain-specific components that will be required.",

author = "Khalid Belhajjame and Suzanne Embury and Hao Fan and Carole Goble and Henning Hermjakob and Simon Hubbard and D Jones and P Jones and N Martin and Stephen Oliver and C Orengo and Norman Paton and Alexandra Poulovassilis and Jennifer Siepen and Robert Stevens and Chris Taylor and N Vinod and Lucas Zamboulis and Weimin Zhu",

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T1 - Proteome Data Integration: Characteristics and Challenges

AU - Belhajjame, Khalid

AU - Embury, Suzanne

AU - Fan, Hao

AU - Goble, Carole

AU - Hermjakob, Henning

AU - Hubbard, Simon

AU - Jones, D

AU - Jones, P

AU - Martin, N

AU - Oliver, Stephen

AU - Orengo, C

AU - Paton, Norman

AU - Poulovassilis, Alexandra

AU - Siepen, Jennifer

AU - Stevens, Robert

AU - Taylor, Chris

AU - Vinod, N

AU - Zamboulis, Lucas

AU - Zhu, Weimin

PY - 2005/9

Y1 - 2005/9

N2 - The aim of the ISPIDER project is to create a proteomics grid; that is, a technical platform that supports bioinformaticians in constructing, executing and evaluating in silico analyses of proteomics data. It will be constructed using a combination of generic e-science and Grid technologies, plus proteomics specific components and clients that embody knowledge of the proteomics domain and the available resources. In this paper, we describe some of our earlier results in prototyping specific examples of proteomics data integration, and draw from it lessons about the kinds of domain-specific components that will be required.

AB - The aim of the ISPIDER project is to create a proteomics grid; that is, a technical platform that supports bioinformaticians in constructing, executing and evaluating in silico analyses of proteomics data. It will be constructed using a combination of generic e-science and Grid technologies, plus proteomics specific components and clients that embody knowledge of the proteomics domain and the available resources. In this paper, we describe some of our earlier results in prototyping specific examples of proteomics data integration, and draw from it lessons about the kinds of domain-specific components that will be required.

M3 - Conference contribution

BT - All Hands Meeting

ER -

Proteome Data Integration: Characteristics and Challenges

Abstract

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