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Related Concept Videos

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.
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...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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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Related Experiment Video

Updated: Jun 13, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

MagicViewer: integrated solution for next-generation sequencing data visualization and genetic variation detection

Huabin Hou1, Fangqing Zhao, Linglin Zhou

  • 1Institute of Genomic Medicine, Wenzhou Medical College, Wenzhou 325035, China.

Nucleic Acids Research
|May 7, 2010
PubMed
Summary
This summary is machine-generated.

MagicViewer software visualizes next-generation sequencing data, aiding genetic variation identification and annotation. This tool simplifies analyzing large datasets for genome re-sequencing and transcriptome studies.

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Targeted DNA Methylation Analysis by Next-generation Sequencing
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Targeted DNA Methylation Analysis by Next-generation Sequencing

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Related Experiment Videos

Last Updated: Jun 13, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Rapid advancements in next-generation sequencing (NGS) technologies generate vast amounts of data.
  • Efficient tools are crucial for analyzing and interpreting large-scale sequencing datasets.

Purpose of the Study:

  • To develop an integrated software, MagicViewer, for visualizing short read mapping.
  • To enable easy identification and annotation of genetic variations using reference genomes.

Main Methods:

  • MagicViewer offers a user-friendly, zoomable interface for displaying large-scale short reads.
  • It incorporates a computational pipeline for genetic variation detection, filtration, annotation, and visualization.

Main Results:

  • The software provides an operating system-independent environment with user-defined color schemes.
  • Includes functionalities for search options, functional classification, subset selection, sequence association, and primer design.

Conclusions:

  • MagicViewer is a comprehensive tool for assembly visualization and genetic variation annotation of NGS data.
  • It is applicable to diverse sequencing research, including genome re-sequencing and transcriptome studies.