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

Next-generation Sequencing03:00

Next-generation Sequencing

94.2K
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....
94.2K
RNA-seq03:21

RNA-seq

10.5K
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...
10.5K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.7K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.7K
Sanger Sequencing01:57

Sanger Sequencing

761.7K
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...
761.7K

You might also read

Related Articles

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

Sort by
Same author

Urinary angiotensinogen as a novel mortality predictor in diabetic kidney disease: a propensity-matched analysis from the KNOW-CKD.

Clinical kidney journal·2026
Same author

Compression benchmarking of holotomography data using OME-Zarr format.

PloS one·2026
Same author

Gene-Environment Interactions in Predicting Self-Harm: A Machine Learning Approach Using Explainable Artificial Intelligence.

Archives of suicide research : official journal of the International Academy for Suicide Research·2026
Same author

Urinary Sodium Excretion and the Risk of Prevalent Anemia: Nationwide Population-Based Cross-Sectional Study.

JMIR public health and surveillance·2026
Same author

LiBRe: A Ligand-Aware Sequence-Based Binding Residue Prediction Model for Virtual Screening.

Journal of chemical information and modeling·2026
Same author

Flattening Energy Puddles for Enhanced Charge Transport in Wrinkled WSe<sub>2</sub>.

Small (Weinheim an der Bergstrasse, Germany)·2026

Related Experiment Video

Updated: Oct 17, 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

9.4K

FastqCLS: a FASTQ compressor for long-read sequencing via read reordering using a novel scoring model.

Dohyeon Lee1, Giltae Song1

  • 1School of Computer Science and Engineering, Pusan National University, Busan 46241, South Korea.

Bioinformatics (Oxford, England)
|October 8, 2021
PubMed
Summary

A new compression algorithm, FastqCLS, effectively reduces FASTQ file sizes for long-read sequencing data without data loss. This method offers improved compression ratios, addressing storage and transfer bottlenecks in genomics.

More Related Videos

3' End Sequencing Library Preparation with A-seq2
12:01

3' End Sequencing Library Preparation with A-seq2

Published on: October 10, 2017

10.7K
Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

967

Related Experiment Videos

Last Updated: Oct 17, 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

9.4K
3' End Sequencing Library Preparation with A-seq2
12:01

3' End Sequencing Library Preparation with A-seq2

Published on: October 10, 2017

10.7K
Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

967

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome sequencing generates massive datasets, demanding significant storage and causing analysis bottlenecks.
  • Existing FASTQ compression methods are often suboptimal and primarily designed for short-read data.
  • The increasing dominance of long-read sequencing highlights the need for specialized compression tools.

Purpose of the Study:

  • To develop a novel, lossless compression algorithm for FASTQ files, specifically addressing the challenges of long-read sequencing data.
  • To create an accessible software package, FastqCLS, for efficient FASTQ data compression.
  • To evaluate the performance of FastqCLS against existing compression tools using benchmark and long-read datasets.

Main Methods:

  • Designed a compression algorithm based on read reordering and a novel scoring model.
  • Integrated the algorithm into a user-friendly software package named FastqCLS.
  • Provided FastqCLS as a Docker image for simplified installation and execution.
  • Validated the method using benchmark datasets, including newly generated long-read sequencing data.

Main Results:

  • FastqCLS achieves significant reduction in FASTQ file size for long-read data.
  • The algorithm demonstrates superior compression ratios compared to existing major FASTQ compression tools.
  • No information loss was incurred during the compression process.

Conclusions:

  • FastqCLS offers an effective solution for compressing long-read sequencing data, mitigating storage and transfer issues.
  • The software package provides an accessible and efficient tool for the genomics community.
  • This advancement supports the growing demands of large-scale genomic data analysis.