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Updated: Jul 15, 2026
14:06
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion
1Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA, USA. tyu8@sph.emory.edu
BMC Bioinformatics
|May 5, 2007
Summary
This study introduces a sensitive algorithm for detecting DNA copy number aberrations (CNAs) from SNP array data. The FASeg R package accurately identifies small CNAs, crucial for cancer research.
Area of Science:
- Genomics
- Bioinformatics
- Cancer Research
Background:
- DNA copy number aberration (CNA) is a hallmark of cancer.
- Single nucleotide polymorphism (SNP) genotyping arrays are increasingly used for CNA detection.
- Accurate segmentation methods are needed to identify small CNAs from noisy SNP array data.
Purpose of the Study:
- To develop a sensitive and robust algorithm for detecting CNAs from SNP array data.
- To address the challenge of identifying small CNA segments with high accuracy.
- To provide a practical tool for analyzing SNP array data for CNA detection.
Main Methods:
- Developed a novel algorithm for edge detection in copy number data.
- Algorithm includes an over-sensitive edge-detection step and a test-based forward-backward edge selection step.
- Algorithm is optimized for high-density SNP array data.
Main Results:
- The developed method demonstrates high sensitivity and specificity in detecting small copy number changes.
- Simulations based on real experimental data validate the algorithm's performance.
- The method effectively identifies CNAs in focused genomic regions.
Conclusions:
- The new algorithm accurately detects small CNAs from SNP array data.
- The method is implemented in the R package FASeg, offering data processing and visualization tools.
- FASeg facilitates the analysis of Affymetrix SNP array data for cancer genomics research.
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.
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01:05Single Nucleotide Polymorphisms-SNPs
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
02:26Comparing Copy Number Variations and SNPs
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...