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Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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The Concept of Multiple Allelism
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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Probability Laws01:49

Probability Laws

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Overview
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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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%...
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Related Experiment Video

Updated: Apr 25, 2026

Infinium Assay for Large-scale SNP Genotyping Applications
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Probabilistic single-individual haplotyping.

Volodymyr Kuleshov1

  • 1Department of Computer Science, Stanford University, Stanford, CA 94305, USA.

Bioinformatics (Oxford, England)
|August 28, 2014
PubMed
Summary

ProbHap, a new algorithm for genomic haplotyping, leverages long read sequencing to reduce errors by 11% compared to existing methods. This tool provides accurate haplotype phasing with confidence scores for genomic data analysis.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate genomic haplotyping, determining parental inheritance of genome segments, remains a significant challenge.
  • Advancements in long-read sequencing technologies are making haplotyping more tractable.
  • Existing methods for haplotype phasing have limitations in accuracy and confidence scoring.

Purpose of the Study:

  • To introduce ProbHap, a novel haplotyping algorithm designed for long-read sequencing data.
  • To develop an accurate and efficient method for genomic haplotyping.
  • To provide confidence scores for phased genomic positions.

Main Methods:

  • Development of a new dynamic programming algorithm for probabilistic graphical models.
  • Optimization of a likelihood function generalizing the minimum error correction objective.

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  • Application to long-read sequencing data for haplotype phasing.
  • Main Results:

    • ProbHap achieves an 11% reduction in errors compared to state-of-the-art haplotyping methods on benchmark datasets.
    • The algorithm provides confidence scores for phased positions, enabling assessment of accuracy.
    • Excluding low-confidence positions can further increase accuracy at a minor cost to haplotype completeness.

    Conclusions:

    • ProbHap offers a significant improvement in accuracy for genomic haplotyping using long-read sequencing.
    • The algorithm's ability to provide confidence scores enhances the reliability of haplotype phasing.
    • ProbHap represents a valuable tool for genomic research requiring precise haplotyping.