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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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...
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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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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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Updated: Feb 19, 2026

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
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Mosdepth: quick coverage calculation for genomes and exomes.

Brent S Pedersen1,2,3, Aaron R Quinlan1,2,3

  • 1Department of Human Genetics.

Bioinformatics (Oxford, England)
|November 3, 2017
PubMed
Summary
This summary is machine-generated.

Mosdepth is a new command-line tool that rapidly calculates genome-wide sequencing coverage from BAM or CRAM files. This efficient tool provides flexible coverage summaries and is faster than existing methods.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate genome-wide sequencing coverage analysis is crucial for various genomic applications.
  • Existing tools may lack efficiency or flexibility in generating coverage summaries.

Purpose of the Study:

  • To introduce mosdepth, a novel command-line tool for rapid genome-wide sequencing coverage calculation.
  • To provide a computationally efficient and flexible solution for analyzing sequencing depth.

Main Methods:

  • Mosdepth processes BAM or CRAM files to measure sequencing depth.
  • It supports analysis at nucleotide resolution or across specified genomic regions (e.g., BED files, fixed-size windows).
  • The tool employs a simple and computationally efficient algorithm.

Main Results:

  • Mosdepth demonstrates significantly faster performance compared to existing coverage analysis tools.
  • It offers flexibility in generating diverse coverage profiles, including for capture regions and copy-number variant calling.
  • The tool produces rapid and accurate coverage summaries.

Conclusions:

  • Mosdepth offers a computationally efficient and fast method for genome-wide sequencing coverage analysis.
  • Its flexibility makes it suitable for a range of genomic applications, from regional analysis to copy-number variant detection.