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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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RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Real Time RT-PCR02:57

Real Time RT-PCR

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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Related Experiment Video

Updated: Nov 2, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

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Detecting copy number alterations in RNA-Seq using SuperFreq.

Christoffer Flensburg1,2, Alicia Oshlack3,4, Ian J Majewski1,2

  • 1Blood Cells and Blood Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.

Bioinformatics (Oxford, England)
|June 16, 2021
PubMed
Summary
This summary is machine-generated.

SuperFreq accurately calls copy number alterations from RNA sequencing data, achieving high concordance with DNA SNP-arrays for cancer genomics. This method enhances the analysis of genomic instability in tumors using RNA-Seq alone.

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Last Updated: Nov 2, 2025

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Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Calling copy number alterations (CNAs) from RNA sequencing (RNA-Seq) is challenging due to coverage variability and limited single nucleotide polymorphisms (SNPs).
  • Existing methods struggle with the inherent noise and sparsity of RNA-Seq data for accurate CNA detection.

Purpose of the Study:

  • To adapt and validate SuperFreq for calling absolute and allele-sensitive CNAs directly from RNA-Seq data.
  • To assess the performance of SuperFreq against established DNA-based methods using large cancer datasets.

Main Methods:

  • Utilized an error-propagation framework in SuperFreq to integrate read counts and B-allele frequencies from RNA-Seq.
  • Applied SuperFreq to The Cancer Genome Atlas (TCGA) datasets, including acute myeloid leukemia (TCGA-AML) and colorectal cancer (TCGA-CRC).
  • Validated CNA calls by comparing SuperFreq results with DNA SNP-array data.

Main Results:

  • Achieved over 98% genomic concordance with DNA SNP-arrays for TCGA-AML and 87% for TCGA-CRC when ploidy estimates were consistent.
  • SuperFreq detected 78% of CNAs covering ≥100 genes with 94% precision from RNA-Seq.
  • Demonstrated high sensitivity for high-level amplifications (e.g., ERBB2) and variable recall for focal events depending on signal intensity.

Conclusions:

  • SuperFreq provides a robust platform for identifying CNAs from RNA-Seq, complementing point mutation analysis.
  • RNA-Seq alone can be sufficient for reproducing established relationships between mutation load and CNA profiles, as shown in CRC.
  • The adapted SuperFreq tool expands the utility of RNA-Seq for comprehensive cancer genome analysis.