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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

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Published on: April 8, 2017

DAVID gene ID conversion tool.

Da Wei Huang, Brad T Sherman, Robert Stephens

|October 9, 2008

Summary

This summary is machine-generated.

Bioinformatics gene and protein identifiers are inconsistent across databases, hindering analysis. The DAVID Gene ID Conversion Tool (DICT) offers a high-throughput solution for converting these identifiers, improving large-scale data analysis.

Keywords:

database gene microarray protein proteome

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Area of Science:

Bioinformatics
Genomics
Proteomics

Background:

Biological knowledge is fragmented across numerous bioinformatics databases.
Inconsistent gene and protein identifiers across these databases impede cross-resource data analysis.
This heterogeneity poses a significant challenge for analyzing large datasets from experiments like microarrays and proteomics.

Purpose of the Study:

To address the limitations of disparate gene and protein identifiers in bioinformatics.
To develop a tool for efficient and comprehensive conversion of gene and protein identifiers.
To enhance high-throughput data analysis across diverse biological databases.

Main Methods:

Development of the DAVID Gene ID Conversion Tool (DICT).
Creation of a uniquely enhanced ID-to-ID mapping database.
Implementation as a web-based application for user accessibility.

Main Results:

DICT enables conversion of user-input gene or gene product identifiers between different types.
The tool facilitates more comprehensive and high-throughput data analysis.
Improved integration of data from various bioinformatics resources.

Conclusions:

The DAVID Gene ID Conversion Tool (DICT) effectively resolves identifier inconsistencies in bioinformatics.
DICT enhances the capability for large-scale biological data analysis.
This tool streamlines research by enabling seamless data integration across databases.