Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.1K
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%...
18.1K
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

13.2K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
13.2K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

16.8K
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,...
16.8K
Karyotyping01:17

Karyotyping

63.8K
Overview
63.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-quality phage assembly from metagenomes with PALACE.

Nature biotechnology·2026
Same author

Detecting and reconstructing breakage-fusion-bridge cycles from long-read sequencing using BFBArchitect.

Bioinformatics (Oxford, England)·2026
Same author

PRMT5 inhibition promotes cross-species spermatogonia expansion and suppresses differentiation.

Cell regeneration (London, England)·2026
Same author

A Novel Magnetically Targeted Intramedullary (MagIC-TI) Xenograft Model for Precise Leukemia Modeling and Drug Resistance Evaluation in the Bone Marrow Niche.

Journal of immunology research·2026
Same author

[Efficacy of CD4/TGF-β bispecific antibody in a mouse model of peritoneal metastasis of malignant melanoma].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University·2026
Same author

Altitude-Associated Divergence of the Gut Microbiome in Endangered Forest Musk Deer: Evidence From Integrated Metagenomics, Metabolomics, and Culturomics.

Evolutionary applications·2026

Related Experiment Video

Updated: Oct 16, 2025

Characterizing Mutational Load and Clonal Composition of Human Blood
07:58

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

7.5K

Somatic variant analysis suite: copy number variation clonal visualization online platform for large-scale

Lingxi Chen1, Yuhao Qing1, Ruikang Li1

  • 1Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong, China.

Briefings in Bioinformatics
|October 21, 2021
PubMed
Summary

This study introduces scSVAS, an online platform for visualizing single-cell copy number variation (CNV) data. It offers real-time interaction and efficient analysis for large datasets, aiding cancer evolution research.

Keywords:
clonal evolutioncopy number variationsingle-cell genomicsvisualization

More Related Videos

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

11.8K
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

19.6K

Related Experiment Videos

Last Updated: Oct 16, 2025

Characterizing Mutational Load and Clonal Composition of Human Blood
07:58

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

7.5K
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

11.8K
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

19.6K

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • Single-cell copy number variation (CNV) analysis is crucial for understanding intratumor heterogeneity and cancer evolution.
  • Existing visualization tools lack real-time interaction, are difficult to reproduce, and are inefficient for large-scale single-cell data.

Purpose of the Study:

  • To develop an online platform, scSVAS, for real-time interactive visualization of single-cell genomic data.
  • To provide an efficient and user-friendly tool for analyzing and sharing single-cell CNV profiles.

Main Methods:

  • Development of the single-cell Somatic Variant Analysis Suite (scSVAS) as an online visualization platform.
  • Implementation of automatic online interactive visualization upon data upload.
  • Provision of functionalities for data management, investigation, sharing, and figure generation.

Main Results:

  • scSVAS enables real-time interactive visualization of single-cell genomic data.
  • The platform efficiently handles large-scale single-cell throughputs.
  • Users can generate high-quality, publication-ready figures and share interactive visualizations.

Conclusions:

  • scSVAS expedites biological understanding of cancer clonal evolution at single-cell resolution.
  • The platform facilitates scientific discovery, validation, and sharing of single-cell CNV analysis results.