Integrative Genomics and Computational Systems Medicine

Year: 2014

Type: article

Abstract: The exponential growth in generation of large amounts of genomic data from biological samples has driven the emerging field of systems medicine. This field is promising because it improves our understanding of disease processes at the systems level. However, the field is still in its young stage. There exists a great need for novel computational methods and approaches to effectively utilize and integrate various omics data.

Source: BioMed Research International

DOI: 10.1155/2014/945253

Authors: Jason E. McDermott, Yufei Huang, Bing Zhang, Hua Xu, Zhongming Zhao

Institutions: Pacific Northwest National Laboratory, The University of Texas at San Antonio, Vanderbilt University, Vanderbilt University Medical Center, The University of Texas Health Science Center at Houston

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $2,680

Funders: National Science Foundation, U.S. Department of Energy, Battelle, Vanderbilt University, National Institutes of Health, National Cancer Institute, Laboratory Directed Research and Development, Pacific Northwest National Laboratory

OpenAlex ID: W2001012252