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Related Concept Videos

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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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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Related Experiment Video

Updated: Feb 7, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Whole-Genome Shotgun Sequence CNV Detection Using Read Depth.

Fatma Kahveci1, Can Alkan2

  • 1Department of Computer Engineering, Bilkent University, Ankara, Turkey.

Methods in Molecular Biology (Clifton, N.J.)
|July 25, 2018
PubMed
Summary
This summary is machine-generated.

High-throughput sequencing enables cost-effective identification of genomic structural variants (SVs). This study introduces a user-friendly tool for detecting large copy number variations (CNVs), specifically segmental duplications and deletions, using read depth analysis.

Keywords:
Copy number variationRead depthWhole genome shotgun sequencingmrFASTmrsFAST

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput sequencing (HTS) technologies have revolutionized genomic research, reducing the cost of identifying structural variants (SVs).
  • Structural variants are broadly categorized into balanced rearrangements and copy number variations (CNVs).
  • Existing algorithms for CNV characterization using HTS data vary in their focus on variant types, size ranges, and read signatures.

Purpose of the Study:

  • To provide a guideline for a user-friendly tool for detecting large CNVs.
  • To enable the identification of large segmental duplications and deletions.
  • To predict integer copy numbers for duplicated genes.

Main Methods:

  • Utilizing read depth (RD) based analysis, a common strategy for characterizing large CNVs (>10 kb).
  • Leveraging HTS data to overcome limitations of fragment size and read length inherent in read pair and split read analyses.
  • Developing a user-friendly tool for CNV detection and copy number prediction.

Main Results:

  • Successful detection of large segmental duplications and deletions using RD-based methods.
  • Accurate prediction of integer copy numbers for duplicated genes.
  • Demonstration of a user-friendly approach for large CNV analysis.

Conclusions:

  • The developed tool offers a cost-effective and accessible method for identifying large CNVs using HTS data.
  • Read depth analysis is effective for characterizing large CNVs, independent of fragment size and read length.
  • This guideline facilitates the broader application of HTS for genomic structural variation analysis.