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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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RNA-seq

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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Genomics02:02

Genomics

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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Updated: Jun 1, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

SVA: software for annotating and visualizing sequenced human genomes.

Dongliang Ge1, Elizabeth K Ruzzo, Kevin V Shianna

  • 1Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina 27708, USA. d.ge@duke.edu

Bioinformatics (Oxford, England)
|June 1, 2011
PubMed
Summary
This summary is machine-generated.

Sequence Variant Analyzer (SVA) is a new software tool that predicts the biological function of genetic variants from next-generation sequencing data. It aids researchers in analyzing variant associations with traits and visualizing genomic contexts.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) studies generate vast amounts of genetic variant data.
  • Interpreting the biological significance of these variants is crucial for understanding disease mechanisms.
  • Existing tools may lack integrated approaches for variant annotation and association analysis.

Purpose of the Study:

  • To introduce Sequence Variant Analyzer (SVA), a novel software tool.
  • To enable prediction of biological function for genetic variants identified in NGS studies.
  • To facilitate visualization and association analysis of variants within their genomic contexts.

Main Methods:

  • Development of the Sequence Variant Analyzer (SVA) software.
  • Implementation of a browser for visualizing variants in genomic contexts.
  • Integration with software for variant association tests.
  • Illustration of annotation features using examples of sequenced genomes with Mendelian mutations.

Main Results:

  • SVA assigns predicted biological functions to genetic variants.
  • SVA provides a browser for visualizing variants in genomic locations.
  • SVA allows flexible interaction with variant association testing software.
  • Demonstrated utility of SVA annotation features with Mendelian mutation examples.

Conclusions:

  • SVA is a valuable software tool for analyzing genetic variants from NGS studies.
  • It enhances the interpretation of variant function and association with traits.
  • SVA aids researchers in understanding genetic mutations, including Mendelian ones.