skip to main content
10.1145/2649387.2660825acmconferencesArticle/Chapter ViewAbstractPublication PagesbcbConference Proceedingsconference-collections
research-article

Promises and challenges in analysis of biological big data

Published:20 September 2014Publication History

ABSTRACT

The advent of multiple new technologies for measuring many components in biological systems offers a huge opportunity and challenge for researchers. An important question is how to make sense of the mountains of data that describe different aspects of the same, or similar, biological systems. We are taking several approaches to this problem in terms of statistical methods and data mining, network and pathway analysis, and generation of testable biological hypotheses. We discuss applications of these approaches to study host-pathogen interactions and cancer, and talk about future opportunities and challenges in this area.

Index Terms

  1. Promises and challenges in analysis of biological big data

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
          September 2014
          851 pages
          ISBN:9781450328944
          DOI:10.1145/2649387
          • General Chairs:
          • Pierre Baldi,
          • Wei Wang

          Copyright © 2014 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 20 September 2014

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate254of885submissions,29%
        • Article Metrics

          • Downloads (Last 12 months)0
          • Downloads (Last 6 weeks)0

          Other Metrics