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Related Concept Videos

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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Genetic Variation01:25

Genetic Variation

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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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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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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Updated: Sep 26, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Bioinformatic Challenges Detecting Genetic Variation in Precision Medicine Programs.

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  • 1Centre for Tropical Bioinformatics and Molecular Biology, College of Public Health, Medical and Veterinary Science, James Cook University, Cairns, QLD, Australia.

Frontiers in Medicine
|April 25, 2022
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Summary

High-throughput sequencing makes individual genome analysis affordable for precision medicine. However, analyzing and interpreting this genetic variation data remains a significant challenge for widespread clinical application.

Keywords:
FPGA—field-programmable gate arrayGPU-acceleratedhigh-throughput sequencingpathogenic variantprecision medicinevariant detectionvariant prioritization

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Area of Science:

  • Genomics and Bioinformatics
  • Translational Medicine
  • Computational Biology

Background:

  • High-throughput sequencing technologies have dramatically reduced costs, making individual genome sequencing feasible for clinical applications.
  • The accessibility of genomic data presents significant challenges in timely analysis and interpretation for precision medicine programs.
  • Advancements in sequencing have outpaced the development of robust bioinformatic pipelines for variant analysis.

Purpose of the Study:

  • To review the challenges and potential solutions in identifying predictive genetic biomarkers and pharmacogenetic variants.
  • To discuss the emerging bioinformatic challenges in large-scale precision medicine.
  • To examine the role of software and hardware development in overcoming current and future analytical hurdles.

Main Methods:

  • Review of current literature on genetic variation analysis and precision medicine.
  • Examination of software and hardware advancements in short read mapping, variant detection, and interpretation.
  • Discussion of statistical models and bioinformatic approaches for complex disease genetics.

Main Results:

  • While sequencing costs have decreased, efficient variant analysis and interpretation remain bottlenecks for precision medicine.
  • Ongoing developments in software and hardware aim to improve short read mapping and variant detection.
  • Progress in understanding genetic diseases is substantial, but complex diseases still present significant challenges.

Conclusions:

  • Overcoming bioinformatic challenges in variant interpretation is crucial for realizing the potential of precision medicine.
  • Novel statistical models and advanced software are essential for integrating genomic data into clinical practice.
  • Future success in precision medicine across all disease types hinges on continued innovation in computational biology and bioinformatics.