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Related Experiment Video

Updated: Jul 7, 2026

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

Extraction and annotation of SAGE tags using sequence quality values.

Jeppe Emmersen¹

¹Department of Biochemistry, Chemistry and Environmental Engineering, University of Aalborg, Aalborg, Denmark.

Methods in Molecular Biology (Clifton, N.J.)

|February 22, 2008

Summary

This study details a method for accurately identifying gene expression tags from sequencing data. By utilizing DNA base quality values, researchers can effectively control errors in unique tag discovery for gene analysis.

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Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Serial Analysis of Gene Expression (SAGE) is a technique used to analyze gene expression profiles by sequencing short tags.
Accurate identification of unique tags is crucial for reliable gene expression analysis.
Traditional SAGE analysis can be prone to false-positive discoveries of unique tags.

Purpose of the Study:

To describe a system for generating accurate tag lists from SAGE data.
To demonstrate the use of DNA base quality values for controlling false-positive tag discovery.

Main Methods:

Extraction of SAGE tags from single-pass sequence files of ditag concatemers.
Integration of DNA base quality values generated during base calling.
Development of a system for generating tag lists based on quality-associated sequence data.

Main Results:

A method for controlling the false-positive discovery rate of unique tags was established.
The system enables the generation of reliable tag lists from sequence data.

Conclusions:

Utilizing DNA base quality values enhances the accuracy of SAGE tag analysis.
The described system provides a robust approach for SAGE data processing, improving the reliability of gene expression studies.