Related Experiment Video
Updated: Mar 20, 2026

10:34
Ultra-long Read Sequencing for Whole Genomic DNA Analysis
Published on: March 15, 2019
24.2K
Enhanced whole exome sequencing by higher DNA insert lengths
Claudia Pommerenke1, Robert Geffers2, Boyke Bunk3
1Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstrasse 7B, Braunschweig, 38124, Germany. claudia.pommerenke@dsmz.de.
BMC Genomics
|May 27, 2016
Summary
Optimizing DNA insert size in whole exome sequencing (WES) improves coverage uniformity. Longer inserts (170 bp) enhance evenness and reduce false negatives in variant calling, crucial for genetic analyses.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Whole exome sequencing (WES) is vital for variant calling and copy number variation (CNV) analysis.
- Uneven read coverage in WES, caused by GC-rich regions and off-target enrichment, hinders accurate genetic analysis.
- Optimizing WES protocols is essential for reliable downstream applications.
Purpose of the Study:
- To investigate the impact of DNA insert size on WES coverage uniformity.
- To identify factors contributing to uneven read coverage in exome sequencing.
- To improve the accuracy of variant calling and CNV analyses through optimized WES.
Main Methods:
- Applied Agilent SureSelectXT exome capture and Illumina sequencing (2 × 101 bp paired-end mode).
- Sheared 12 genomic DNA samples to two insert sizes: 130 bp and 170 bp.
- Analyzed coverage evenness and performed mutation analysis on isogenic subclones.
Main Results:
- Samples with 170 bp inserts exhibited more uniform read coverage compared to 130 bp inserts, despite lower mean coverage.
- Merging overlapping paired-end reads significantly improved coverage evenness.
- The false negative rate for mutation detection was nearly double in 130 bp samples compared to 170 bp samples.
Conclusions:
- Generating longer DNA inserts is a key strategy for achieving uniform WES coverage.
- Enhanced coverage evenness improves the reliability of variant calling and CNV analyses.
- Optimizing insert size and utilizing overlapping reads can increase effective sequencing yield and data quality.
More Related Videos
Related Concept Videos
Sanger Sequencing
777.7K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
777.7K
Next-generation Sequencing
100.7K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.7K
Maxam-Gilbert Sequencing
13.6K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
Challenges of the Maxam-Gilbert Method
The...
13.6K
RNA-seq
12.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.4K
RACE - Rapid Amplification of cDNA Ends
7.5K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
7.5K
Long-patch Base Excision Repair
8.2K
Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
8.2K

