Proteomic resources: Integrating biomedical information in humans

Shubha Suresh; S. Sujatha Mohan; Goparani Mishra; G. R. Hanumanthu; M. Suresh; Raghunath Reddy; Akhilesh Pandey

doi:10.1016/j.gene.2005.07.021

Proteomic resources: Integrating biomedical information in humans

Shubha Suresh, S. Sujatha Mohan, Goparani Mishra, G. R. Hanumanthu, M. Suresh, Raghunath Reddy, Akhilesh Pandey

School of Medicine

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community initiatives to standardize data formats and ontologies. An overview of the web-based resources and databases for analysis of proteomic data is also provided. Integration of disparate proteomic data sources with genomic and transcriptomic data should make systems biology type of approaches feasible in the near future.

Original language	English (US)
Pages (from-to)	13-18
Number of pages	6
Journal	Gene
Volume	364
Issue number	1-2
DOIs	https://doi.org/10.1016/j.gene.2005.07.021
State	Published - Dec 30 2005

Keywords

Annotation
Bioinformatics
Databases
Gene ontology
Systems biology

ASJC Scopus subject areas

Genetics

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10.1016/j.gene.2005.07.021

Cite this

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title = "Proteomic resources: Integrating biomedical information in humans",

abstract = "Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community initiatives to standardize data formats and ontologies. An overview of the web-based resources and databases for analysis of proteomic data is also provided. Integration of disparate proteomic data sources with genomic and transcriptomic data should make systems biology type of approaches feasible in the near future.",

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AU - Suresh, Shubha

AU - Sujatha Mohan, S.

AU - Mishra, Goparani

AU - Hanumanthu, G. R.

AU - Suresh, M.

AU - Reddy, Raghunath

AU - Pandey, Akhilesh

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AB - Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community initiatives to standardize data formats and ontologies. An overview of the web-based resources and databases for analysis of proteomic data is also provided. Integration of disparate proteomic data sources with genomic and transcriptomic data should make systems biology type of approaches feasible in the near future.

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KW - Bioinformatics

KW - Databases

KW - Gene ontology

KW - Systems biology

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Proteomic resources: Integrating biomedical information in humans

Abstract

Keywords

ASJC Scopus subject areas

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