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Related Experiment Video

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Published on: February 8, 2017

Software for systems biology: from tools to integrated platforms.

Samik Ghosh1, Yukiko Matsuoka, Yoshiyuki Asai

  • 1The Systems Biology Institute, Minato, Tokyo, Japan. ghosh@sbi.jp

Nature Reviews. Genetics
|November 4, 2011
PubMed
Summary
This summary is machine-generated.

Software tools are crucial for systems biology research, aiding in data handling, network inference, and simulation. This review highlights essential tools and discusses integrated platforms for complex biological system analysis.

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Area of Science:

  • Systems biology
  • Computational biology
  • Bioinformatics

Background:

  • Understanding complex biological systems necessitates robust computational tools.
  • A typical systems biology workflow involves data handling, network inference, curation, simulation, and analysis.

Purpose of the Study:

  • To review software tools required for various stages of systems biology research.
  • To discuss current software options available to researchers.
  • To explore challenges and prospects in integrated modeling platforms.

Main Methods:

  • Literature review of existing software tools for systems biology.
  • Analysis of computational workflow stages and associated software requirements.
  • Discussion of integrated platform concepts and their implications.

Main Results:

  • Identified key software tool categories for each stage of the systems biology workflow.
  • Cataloged current available software options for systems biology researchers.
  • Highlighted the growing trend towards integrated software platforms.

Conclusions:

  • Effective software tools are indispensable for advancing systems biology research.
  • Integrated platforms are essential for seamless collaboration and data sharing.
  • Further development is needed to address challenges in modeling genetic effects on physiology.