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

Deconvolution01:20

Deconvolution

220
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
220
Next-generation Sequencing03:00

Next-generation Sequencing

92.0K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
92.0K
RNA-seq03:21

RNA-seq

10.2K
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...
10.2K
Sanger Sequencing01:57

Sanger Sequencing

755.6K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
755.6K

You might also read

Related Articles

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

Sort by
Same author

SNooPy: a statistical framework for long-read metagenomic variant calling.

Nucleic acids research·2026
Same author

De-Bruijn graph partitioning for scalable and accurate DNA storage processing.

Bioinformatics (Oxford, England)·2025
Same author

Comprehensive Annotation of Olfactory and Gustatory Receptor Genes and Transposable Elements Revealed Their Evolutionary Dynamics in Aphids.

Molecular biology and evolution·2025
Same author

First chromosome-level genome assembly of the colonial chordate model Botryllus schlosseri (Tunicata).

GigaScience·2025
Same author

Fully <i>in vitro</i> iterative construction of a 24 kb-long artificial DNA sequence to store digital information.

BioTechniques·2024
Same author

Deep mutational scanning reveals the molecular determinants of RNA polymerase-mediated adaptation and tradeoffs.

Nature communications·2023
Same journal

metaLoc: protein localisation prediction workflow.

Bioinformatics advances·2026
Same journal

Fuscan: a robust DNA fusion caller for targeted sequencing data in cancer diagnostics.

Bioinformatics advances·2026
Same journal

Correction to: Pathogenicity patterns in cytochrome P450 family.

Bioinformatics advances·2026
Same journal

Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections.

Bioinformatics advances·2026
Same journal

Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.

Bioinformatics advances·2026
Same journal

maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

Bioinformatics advances·2026
See all related articles

Related Experiment Video

Updated: Aug 12, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K

QuickDeconvolution: fast and scalable deconvolution of linked-read sequencing data.

Roland Faure1, Dominique Lavenier1

  • 1INRIA RBA, CNRS UMR 6074, University of Rennes, Rennes, France.

Bioinformatics Advances
|January 26, 2023
PubMed
Summary
This summary is machine-generated.

QuickDeconvolution (QD) software deconvolves linked reads, separating DNA fragments tagged with the same barcode. This advancement improves sequencing accuracy and enables analysis of complex datasets, including animal genomes.

More Related Videos

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.2K

Related Experiment Videos

Last Updated: Aug 12, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.2K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Linked-read sequencing technologies, like the 10x Chromium system, tag multiple short reads from long DNA fragments (50-200 kb) with barcodes.
  • While offering accuracy and long-range information, shared barcodes across different fragments complicate data analysis.

Purpose of the Study:

  • To introduce QuickDeconvolution (QD), a novel software tool for deconvoluting linked reads.
  • To provide a solution for separating reads originating from distinct DNA fragments that share the same barcode.

Main Methods:

  • QD analyzes sequencing data directly, without requiring a reference genome.
  • The software is designed for accuracy, speed, and scalability in deconvolution tasks.

Main Results:

  • QD demonstrates superior performance compared to existing software in accuracy, speed, and scalability.
  • Successfully deconvoluted a large 33-Gb Drosophila melanogaster dataset, marking the first reported instance of animal sequencing data deconvolution.
  • Improved taxonomic assignment accuracy by deconvoluting linked reads with QD prior to classification.

Conclusions:

  • QuickDeconvolution is an effective tool for deconvoluting linked reads, overcoming limitations of current technologies.
  • QD enables the analysis of complex and previously inaccessible sequencing datasets, including animal genomes.
  • The software enhances downstream analyses such as taxonomic classification.