Data integration and analysis of biological networks

  • Kim T
  • Kim H
  • Lee S
  • 128

    Readers

    Mendeley users who have this article in their library.
  • 28

    Citations

    Citations of this article.

Abstract

During the past decade, bottom-up and top-down approaches of network reconstruction have greatly facilitated integration and analysis of biological networks, including transcriptional, protein interaction, and metabolic networks. As increasing amounts of multidimensional high-throughput data become available, biological networks have also been upgraded, allowing more accurate understanding of whole cellular characteristics. The network size is constantly expanding as larger volume of information and omics data are further integrated into the biological networks previously built upon a single type of data. Such effort more recently led to the modeling of human metabolic network and prediction of its tissue-specific metabolism, reconstruction of consensus yeast metabolic network, and simulation of mutual interactions among multiple microorganisms. It is expected that this trend will continue, the outcomes of which will allow development of more sophisticated networks integrating diverse omics data, and enhance our understanding of biological systems. © 2010 Elsevier Ltd.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Authors

  • Sang Yup LeeKorea Advanced Institute of Science and Technology

    Follow
  • Tae Yong Kim

  • Hyun Uk Kim

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free