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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Related Experiment Video

Updated: May 26, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Overview of biological database mapping services for interoperation between different 'omics' datasets.

Shweta S Chavan1, John D Shaughnessy, Ricky D Edmondson

  • 1University of Arkansas Little Rock/University of Arkansas Medical Sciences Joint Bioinformatics Program, AR 72204, USA. schavan@uams.edu

Human Genomics
|December 14, 2011
PubMed
Summary

This review compares web-based tools for biological database identifier conversion. These tools are crucial for linking different

Related Experiment Videos

Last Updated: May 26, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics
  • Proteomics

Background:

  • Primary biological databases often lack cross-references between different molecule types (e.g., gene, protein).
  • Integrating diverse 'omics' datasets (genomics, proteomics) requires mapping identifiers between these databases.
  • Loss of critical information can occur during downstream analysis without proper identifier mapping.

Purpose of the Study:

  • To review and compare publicly available web-based biological database identifier converter tools.
  • To facilitate the correlation of independent experimental datasets by enhancing cross-database mapping.
  • To guide researchers in selecting appropriate tools for their identifier conversion needs.

Main Methods:

  • Systematic review of web-based biological database identifier converter tools.
  • Comparison of tools based on usage, input/output formats, and supported identifier types.
  • Analysis of the scope and limitations of current identifier mapping solutions.

Main Results:

  • A comprehensive list of available web-based identifier converter tools is presented.
  • Key features, including supported identifier types and data formats, are compared.
  • The review highlights the utility and limitations of each tool for specific research applications.

Conclusions:

  • Identifier converter tools are essential for seamless integration of multi-omics data.
  • Selecting the right tool depends on specific experimental needs and data types.
  • Enhanced cross-database mapping improves the reliability of biological data analysis.