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Related Concept Videos

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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Genetic Screens02:46

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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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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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.
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Applications of Molecular Taxonomy

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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Author Correction: Biallelic variants in the noncoding RNA gene RNU4-2 cause a recessive neurodevelopmental syndrome with distinct white matter changes.

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Related Experiment Video

Updated: Aug 12, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file.

Sacha Schutz1,2, Charles Monod-Broca2, Lucas Bourneuf3

  • 1Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest 29200, France.

Bioinformatics Advances
|January 26, 2023
PubMed
Summary

Cutevariant is an open-source desktop application that filters genetic variations from VCF files using a graphical interface or a domain-specific language. Its plugin architecture allows for extensive customization and enhanced functionality compared to existing tools.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Variant Call Format (VCF) files are crucial for storing genetic variation data.
  • Filtering large VCF datasets is computationally intensive and requires specialized tools.
  • Existing VCF filtering applications often lack advanced features and customization options.

Purpose of the Study:

  • To introduce Cutevariant, a novel GUI-based desktop application for efficient VCF data filtering.
  • To provide a flexible and customizable platform for managing and analyzing genetic variations.
  • To enhance the capabilities of VCF data analysis through a plugin architecture.

Main Methods:

  • Development of a desktop application with a graphical user interface (GUI).
  • Implementation of a local SQLite database for efficient data handling.
  • Integration of a domain-specific language, Variant Query Language (VQL), for complex query construction.
  • Design of a comprehensive plugin architecture for extensibility.

Main Results:

  • Cutevariant enables users to filter genetic variations using intuitive GUI controls or powerful VQL queries.
  • The application efficiently imports and manages VCF data within a local SQLite database.
  • A robust plugin architecture allows for significant customization and the addition of new features.
  • Cutevariant offers advanced functionalities surpassing those of many existing VCF filtering tools.

Conclusions:

  • Cutevariant provides a user-friendly, powerful, and customizable solution for filtering genetic variations in VCF files.
  • The application's design facilitates complex data analysis and accommodates diverse user needs.
  • Its open-source nature and plugin architecture promote community contributions and further development.