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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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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.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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Related Experiment Video

Updated: Jul 12, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
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Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity.

Thomas B K Watkins1,2, Emma C Colliver2, Matthew R Huska3

  • 1Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.

Plos Computational Biology
|October 23, 2023
PubMed
Summary
This summary is machine-generated.

Refphase analyzes multiple tumor samples to determine cancer

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Area of Science:

  • Genomics
  • Computational Biology
  • Cancer Research

Background:

  • Current methods for somatic copy number alteration (SCNA) detection often analyze individual tumor samples.
  • Multi-sample sequencing from a single patient is becoming more prevalent.
  • There is a need for advanced computational tools to leverage multi-sample data for SCNA inference.

Purpose of the Study:

  • To introduce Refphase, a novel algorithm for inferring haplotype-specific copy numbers.
  • To utilize multi-sample phasing for improved SCNA analysis.
  • To characterize intra-tumor heterogeneity and allelic imbalance using multi-sample data.

Main Methods:

  • Developed Refphase, a computational algorithm for multi-sample phasing.
  • Applied Refphase to infer haplotype-specific SCNAs.
  • Analyzed intra-tumor heterogeneity and allelic imbalance in low purity samples.
  • Investigated parallel evolution and whole genome doubling events.

Main Results:

  • Refphase successfully infers haplotype-specific SCNAs.
  • The algorithm uncovers previously undetected allelic imbalance in low purity samples.
  • Refphase identifies parallel evolution in a pan-cancer cohort.
  • Demonstrated characterization of intra-tumor heterogeneity.

Conclusions:

  • Refphase enhances SCNA detection by leveraging multi-sample tumor sequencing.
  • The algorithm provides deeper insights into tumor evolution and heterogeneity.
  • Refphase is a valuable tool for analyzing complex cancer genomes.