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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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Genome Annotation and Assembly03:36

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Point and Frameshift Mutations01:30

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Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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RACE - Rapid Amplification of cDNA Ends02:35

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Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
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Genomics02:02

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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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Related Experiment Video

Updated: Oct 4, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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StructuralVariantAnnotation: a R/Bioconductor foundation for a caller-agnostic structural variant software ecosystem.

Daniel L Cameron1,2, Ruining Dong1,2, Anthony T Papenfuss1,2,3,4

  • 1The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.

Bioinformatics (Oxford, England)
|February 8, 2022
PubMed
Summary
This summary is machine-generated.

StructuralVariantAnnotation is a new R/Bioconductor package simplifying structural variant analysis. It standardizes data formats, enabling robust downstream interpretation of genomic rearrangements.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Structural variant (SV) analysis is crucial for understanding genomic rearrangements.
  • Current SV analysis methods often face challenges due to varied data formats and inconsistencies between variant callers.
  • Standardization is needed for reliable downstream analysis and interpretation of SVs.

Purpose of the Study:

  • To introduce StructuralVariantAnnotation, an R/Bioconductor package.
  • To provide a standardized framework for structural variant breakpoint analysis.
  • To facilitate the integration of diverse variant calling outputs for downstream applications.

Main Methods:

  • Developed an R/Bioconductor package named StructuralVariantAnnotation.
  • Implemented standardization of structural variant data from BEDPE and VCF formats into a GRanges data structure.
  • Addressed notational differences for identical variants and handled transitive breakpoints.

Main Results:

  • StructuralVariantAnnotation standardizes structural variant data into a unified GRanges format.
  • The package effectively handles inconsistencies arising from different variant calling methods and notations.
  • Enables caller-agnostic analysis of both simple and complex genomic rearrangements.

Conclusions:

  • StructuralVariantAnnotation offers a foundational tool for the R/Bioconductor ecosystem for SV analysis.
  • It decouples downstream analysis from upstream variant calling, improving reproducibility.
  • Facilitates robust annotation, classification, and interpretation of structural variants.