Computational representation of biological systems.

Zach Frazier; Jason McDermott; Michal Guerquin; Ram Samudrala

doi:10.1007/978-1-59745-243-4_23

Computational representation of biological systems.

Zach Frazier
, Jason McDermott
, Michal Guerquin
, Ram Samudrala

Department of Biomedical Informatics

University of Washington

Research output: Contribution to journal › Review article › peer-review

4 Scopus citations

Abstract

Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.

Original language	English
Pages (from-to)	535-549
Number of pages	15
Journal	Methods in molecular biology (Clifton, N.J.)
Volume	541
DOIs	https://doi.org/10.1007/978-1-59745-243-4_23
State	Published - 2009

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10.1007/978-1-59745-243-4_23

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title = "Computational representation of biological systems.",

abstract = "Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.",

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doi = "10.1007/978-1-59745-243-4\_23",

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AU - Frazier, Zach

AU - McDermott, Jason

AU - Guerquin, Michal

AU - Samudrala, Ram

PY - 2009

Y1 - 2009

N2 - Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.

AB - Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.

UR - https://www.scopus.com/pages/publications/67149090624

U2 - 10.1007/978-1-59745-243-4_23

DO - 10.1007/978-1-59745-243-4_23

M3 - Review article

C2 - 19381532

AN - SCOPUS:67149090624

SN - 1064-3745

VL - 541

SP - 535

EP - 549

JO - Methods in molecular biology (Clifton, N.J.)

JF - Methods in molecular biology (Clifton, N.J.)

ER -

Computational representation of biological systems.

Abstract

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