Related Experiment Video
Updated: Jun 13, 2026
11:11
Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
Published on: August 24, 2017
Detection and characterization of novel sequence insertions using paired-end next-generation sequencing
Iman Hajirasouliha1, Fereydoun Hormozdiari, Can Alkan
1Lab for Computational Biology, Simon Fraser University, Burnaby, BC, Canada.
Bioinformatics (Oxford, England)
|April 14, 2010
Summary
NovelSeq identifies long novel sequence insertions using paired-end sequencing data. This computational framework efficiently detects genetic variations, including copy number variants (CNVs), improving human genome structural variation discovery.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Human genome structural variation discovery is a growing research area.
- Previous studies focused on short insertions, deletions, duplications, and inversions.
- Detecting long sequence insertions is challenging due to limitations in read-pair analysis.
Purpose of the Study:
- To present NovelSeq, a computational framework for discovering long novel sequence insertions.
- To enable the detection of content and location of these insertions using paired-end sequencing data.
- To integrate this discovery into general sequence analysis pipelines.
Main Methods:
- Utilizes paired-end sequencing data from next-generation sequencing platforms.
- Designed as a component of a general sequence analysis pipeline.
- Requires fewer computational resources compared to de novo sequence assembly.
Main Results:
- Successfully detected novel sequence insertions in an anonymous donor's genome.
- Validated findings by comparing with insertions identified from diverse sequence data sources.
- Demonstrated efficiency and reduced computational requirements.
Conclusions:
- NovelSeq provides an effective method for discovering long novel sequence insertions.
- The framework enhances the characterization of genetic variations, including copy number variants (CNVs).
- Facilitates more comprehensive human genome structural variation analysis.
Related Concept Videos
03:00Next-generation Sequencing
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.
01:57Sanger Sequencing
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...
03:21RNA-seq
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 microarray-based...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...