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Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

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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Related Experiment Video

Updated: Aug 21, 2025

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Published on: March 2, 2017

Correction: All2: A tool for selecting mosaic mutations from comprehensive multi-cell comparisons.

Vivekananda Sarangi, Yeongjun Jang, Milovan Suvakov

Plos Computational Biology

|November 15, 2022

Summary

This summary is machine-generated.

This study corrects a previous article DOI. The correction ensures accurate citation and retrieval of scientific research on computational biology and bioinformatics. It is vital for reproducible science.

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Last Updated: Aug 21, 2025

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Area of Science:

Computational Biology
Bioinformatics
Scientific Publishing

Context:

Accurate citation is crucial for scientific integrity and reproducibility.
Digital Object Identifiers (DOIs) are essential for locating research articles.
Corrections to published articles are necessary to maintain the scientific record.

Purpose:

To correct the Digital Object Identifier (DOI) for a previously published article.
To ensure readers can accurately access and cite the intended research.
To uphold standards of accuracy in scientific communication.

Summary:

This entry serves as a correction notice for a specific article's DOI.
The correction ensures that the DOI accurately points to the intended scientific publication.
This action rectifies a metadata error in the scientific literature.

Impact:

Improves the reliability of scientific literature databases.
Facilitates accurate citation and retrieval of research findings.
Supports the principles of open science and transparent research practices.