Developing Computational Resources in Cardiac Gene Expression
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The development of biotechnology and the completion of the Human Genome Project have led to the rapid emergence of enormous
amounts of genomic information. Computational resources are needed to enable researchers and clinicians to obtain quick, up-to-date
information in targeted areas. The creation of this type of subject-specific knowledge base requires expertise in diverse
fields. This chapter is meant to provide a detailed overview and blueprint for how to construct a cardiac-specific knowledge
base like the Human Cardiac Gene Expression Knowledge Base (CaGE) (1). We have provided an overview of some of the ways to capture, organize, and store the necessary data using Perl scripts.
Each group or individual interested in developing a cardiac or gene expression knowledge base will have unique needs. We hope
that this information will serve as a guide for the development of new computational tools.
Affiliation(s): (3) Division of Medical Genetics, A.I. DuPont Hospital for Children, Wilmington, DE, USA
(4) Center for Cardiovascular Bioinformatics and Modeling, Johns Hopkins University, Baltimore, MD, USA
(5) The Whitaker Biomedical Engineering Institute, Baltimore, MD, USA
(4) Center for Cardiovascular Bioinformatics and Modeling, Johns Hopkins University, Baltimore, MD, USA
(5) The Whitaker Biomedical Engineering Institute, Baltimore, MD, USA
Book Title: Cardiac Gene Expression: Methods and Protocols
Series: Methods in Molecular Biology | Volume: 366 | Pub. Date: Mar-19-2007 | Page Range: 253-263 | DOI: 10.1007/978-1-59745-030-0_14
Subject: Genetics/Genomics
Key Words: Gene expression - knowledge base - database - genomics - cardiac - computational genomics
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