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Updated: May 8, 2026

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Finding the lost treasures in exome sequencing data.

David C Samuels¹, Leng Han, Jiang Li

¹Center for Human Genetics Research, Vanderbilt University, Nashville, TN, 37232, USA.

Trends in Genetics : TIG

|August 27, 2013

Summary

This summary is machine-generated.

Exome sequencing data contains valuable information beyond targeted regions. Analyzing these extra reads from introns, mitochondria, and viruses can enhance genomic research and data mining efforts.

Keywords:

exome capture mitochondria mtDNA copy number unmapped read virus virus integration

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Area of Science:

Genomics
Bioinformatics

Background:

Exome sequencing primarily targets coding regions for cost-efficiency.
A significant portion of exome sequencing reads fall outside intended target regions.
These non-target reads are often discarded, representing a potential loss of valuable genomic data.

Purpose of the Study:

To highlight the utility of analyzing non-target reads from exome sequencing data.
To identify types of unintentionally sequenced reads and their potential applications.
To promote secondary data mining of exome sequencing repositories.

Main Methods:

Review of exome sequencing data composition.
Identification and categorization of non-target reads.
Exploration of data mining opportunities in large-scale genomic repositories.

Main Results:

Three main categories of non-target reads exist: intronic/intergenic, mitochondrial, and viral.
These non-target reads can be reliably mined for genomic information.
Large public repositories offer extensive data for secondary analysis.

Conclusions:

Exome sequencing data offers more genomic information than currently utilized.
Analyzing non-target reads expands the scope and utility of exome sequencing.
Secondary data mining of exome sequencing data provides significant research opportunities.