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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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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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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Related Experiment Video

Updated: Sep 11, 2025

Infinium Assay for Large-scale SNP Genotyping Applications
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Efficient and Scalable Alignment-Free Distributed Genotyping of SNPs and Short Indels.

Lorenzo Di Rocco, Umberto Ferraro Petrillo

    IEEE Transactions on Computational Biology and Bioinformatics
    |August 14, 2025
    PubMed
    Summary

    SparkGeno+ is a new alignment-free distributed pipeline for fast and accurate genotyping of Single Nucleotide Polymorphisms (SNPs) and indels. It efficiently handles massive genomics datasets, outperforming existing tools in speed and scalability.

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Massive sequencing data and large variant databases challenge efficient genotyping.
    • Alignment-free (AF) methods offer speed but face memory constraints on single workstations.

    Purpose of the Study:

    • Introduce SparkGeno+, a novel AF distributed pipeline for large-scale genotyping.
    • Address performance bottlenecks in standard AF genotyping approaches.
    • Enhance resource utilization in distributed systems for genomics analysis.

    Main Methods:

    • Developed and implemented innovations in a previous pipeline to optimize for distributed systems.
    • Evaluated performance bottlenecks of standard AF genotyping.
    • Utilized k-mer counts for alignment-free analysis.

    Main Results:

    • SparkGeno+ achieves accuracy comparable to state-of-the-art AF tools (Vargeno, MALVA).
    • Demonstrates excellent time performance scaling with increased computing units.
    • Achieves execution times significantly smaller than classical genotyping tools.

    Conclusions:

    • SparkGeno+ is a highly effective solution for fast and accurate large-scale genotyping.
    • The pipeline efficiently handles massive genomics datasets using a distributed approach.
    • Offers a promising alternative for demanding genotyping applications in bioinformatics.