Data merging for integrated microarray and proteomic analysis.

Data merging for integrated microarray and proteomic analysis. Research Abstract Details 

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Data merging for integrated microarray and proteomic analysis. Abstract Text:

Katrina M Waters,Joel G Pounds,Brian D Thrall,

The functioning of even a simple biological system is much more complicated than the sum of its genes, proteins and metabolites. A premise of systems biology is that molecular profiling will facilitate the discovery and characterization of important disease pathways. However, as multiple levels of effector pathway regulation appear to be the norm rather than the exception, a significant challenge presented by high-throughput genomics and proteomics technologies is the extraction of the biological implications of complex data. Thus, integration of heterogeneous types of data generated from diverse global technology platforms represents the first challenge in developing the necessary foundational databases needed for predictive modelling of cell and tissue responses. Given the apparent difficulty in defining the correspondence between gene expression and protein abundance measured in several systems to date, how do we make sense of these data and design the next experiment? In this review, we highlight current approaches and challenges associated with integration and analysis of heterogeneous data sets, focusing on global analysis obtained from high-throughput technologies.

Data merging for integrated microarray and proteomic analysis. Publishing Authors By Initials

KM Waters,JG Pounds,BD Thrall,

For similar biological sciences: biology: computational biology: systems biology research abstracts see: biological sciences: biology: computational biology: systems biology research

PUBMED ID PMID:

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Data merging for integrated microarray and proteomic analysis. Journal Published:

PUBLICATION TYPE: Review

Journal: Briefings in functional genomics & proteomics

VOLUME: 5

Page Numbers: 261-72

Journal Abbreviation:

ISSN: 1473-9550

DAY: 10

MONTH: 05

YEAR: 2006

Data merging for integrated microarray and proteomic analysis. Information

Number of References: 66

LANGUAGE: eng

NlmUniqueID: 101150306

Data merging for integrated microarray and proteomic analysis. Keywords Mesh Terms:

KEYWORDS: Systems Biology

MESH TERMS: metabolism

Chemical & Substance for Abstract: Data merging for integrated microarray and proteomic analysis. Information

Substance Name: RNA, Messenger

Registry Number: 0

Grant and Affiliation Information for Data merging for integrated microarray and proteomic analysis.

AFFILIATION: Computational Sciences & Mathematics Division, Pacific Northwest National Laboratory, Mail Stop P7-56 Box 999, Richland WA 99352, USA.

Country: England

AGENCY: United States NCRR

GRANT: RR018522

ACRONYM: RR

MEDLINETA: Brief Funct Genomic Proteomic

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