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Related Concept Videos

Next-generation Sequencing03:00

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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.
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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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Related Experiment Video

Updated: Apr 20, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing
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ANGSD: Analysis of Next Generation Sequencing Data.

Thorfinn Sand Korneliussen1, Anders Albrechtsen2, Rasmus Nielsen3,4

  • 1Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark. thorfinn@binf.ku.dk.

BMC Bioinformatics
|November 26, 2014
PubMed
Summary
This summary is machine-generated.

ANGSD is a multithreaded program suite for analyzing vast next-generation sequencing data. It efficiently computes population genetic statistics and performs association mapping directly on raw sequencing data or genotype likelihoods.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Population Genetics

Background:

  • High-throughput DNA sequencing generates massive datasets.
  • Efficient computational tools are crucial for analyzing thousands of samples simultaneously.

Purpose of the Study:

  • To present ANGSD, a multithreaded program suite for next-generation sequencing data analysis.
  • To enable efficient population genetic and association mapping analyses.

Main Methods:

  • Utilizes raw sequencing data or genotype likelihoods.
  • Works directly on sequencing data for comprehensive analysis.
  • Supports multiple input formats including BAM and beagle genotype probability files.

Main Results:

  • ANGSD calculates various summary statistics.
  • Enables association mapping and population genetic analyses.
  • Leverages full information from next-generation sequencing data.

Conclusions:

  • ANGSD is an open-source C/C++ program available on GNU/Linux.
  • It offers flexibility through combinations of existing and novel analytical methods.
  • Facilitates advanced analyses not available in other software.