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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing 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%...
Single Nucleotide Polymorphisms-SNPs01:05

Single 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,...

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QualitySNPng: a user-friendly SNP detection and visualization tool.

Harm Nijveen1, Martijn van Kaauwen, Danny G Esselink

  • 1Department of Plant Sciences, Laboratory of Bioinformatics, Wageningen University, PO Box 569, 6700AN Wageningen, The Netherlands. harm.nijveen@wur.nl

Nucleic Acids Research
|May 2, 2013
PubMed
Summary
This summary is machine-generated.

QualitySNPng is a new software tool for detecting single-nucleotide polymorphisms (SNPs) using a haplotype-based strategy. It efficiently analyzes RNA-seq and DNA sequencing data without a reference genome, aiding genetic research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Accurate detection of single-nucleotide polymorphisms (SNPs) is crucial for genetic research and breeding.
  • Existing tools often require a reference genome, limiting their application in diverse species.

Purpose of the Study:

  • To introduce QualitySNPng, a novel software tool for reliable SNP detection and visualization.
  • To provide a user-friendly and versatile solution for SNP analysis in various sequencing data types.

Main Methods:

  • Employs a haplotype-based strategy for robust SNP identification.
  • Optimized for RNA-sequencing (RNA-seq) data analysis but also supports genomic DNA sequences.
  • Handles next-generation sequencing data and does not require a reference genome.

Main Results:

  • Delivers reliable SNPs for diploid and polyploid species.
  • Features interactive visualization and multiple filtering options for sequencing errors.
  • Generates high-quality SNP data suitable for genotyping by sequencing, QTL mapping, and SNP array population.

Conclusions:

  • QualitySNPng offers a flexible and efficient solution for SNP discovery across various species and data types.
  • The tool's user-friendly interface and compatibility with pipeline systems like Galaxy enhance its utility in genetic studies.