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

92.8K
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....
92.8K

You might also read

Related Articles

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

Sort by
Same author

Genome-wide rotational and translational phasing of nucleosomes with human transcription factors.

Molecular cell·2026
Same author

ScriptManager: a platform for scalable and reproducible high-resolution analysis of genomics datasets.

bioRxiv : the preprint server for biology·2026
Same author

CCR4-NOT is required for suppressing pervasive transcription and retrotransposable elements.

The Journal of biological chemistry·2026
Same author

Oncofetal RNA-binding proteins of IGF2BP family suppress IRF-3 and NF-kB dependent transcription downstream of cytosolic RNA sensors.

bioRxiv : the preprint server for biology·2026
Same author

A unified framework for causal gene regulatory network inference grounded in orthogonal molecular evidence.

bioRxiv : the preprint server for biology·2026
Same author

Game, Set, and Match: A Scoping Review of Matching Characteristics for Control and Intervention Groups in Adaptive Behavioral Interventions for Physical Activity or Healthy Eating Designs for Populations with Overweight and Obesity.

Behavioral medicine (Washington, D.C.)·2026

Related Experiment Video

Updated: Sep 20, 2025

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

3.2K

PEGR: a management platform for ChIP-based next generation sequencing pipelines.

Danying Shao1, Gretta Kellogg1, Shaun Mahony1

  • 1Pennsylvania State University, University Park, Pennsylvania.

PEARC20 : Practice and Experience in Advanced Research Computing 2020 : Catch the Wave : July 27-31, 2020, Portland, or Virtual Conference. Practice and Experience in Advanced Research Computing (Conference) (2020 : Online)
|June 6, 2022
PubMed
Summary
This summary is machine-generated.

Scientists developed the Platform for Eukaryotic Genomic Regulation (PEGR) to manage metadata from rapid genome sequencing experiments. This system aids in understanding genomic regulation mechanisms through integrated data analysis.

Keywords:
next generation sequencing pipelinescience gatewayweb application

More Related Videos

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

34.0K

Related Experiment Videos

Last Updated: Sep 20, 2025

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform
09:30

Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform

Published on: August 17, 2022

3.2K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

34.0K

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput next-generation sequencing (NGS) technologies generate vast amounts of data.
  • ChIP-based NGS methods like ChIP-seq are crucial for identifying DNA-protein binding sites and understanding genomic regulation.
  • The rapid data generation necessitates efficient metadata management systems.

Purpose of the Study:

  • To develop a web service platform for managing metadata of samples and sequencing experiments in eukaryotic genomic regulation studies.
  • To provide tools for data processing workflow management, reporting, and visualization.
  • To integrate various components of the sequencing pipeline, including personnel, samples, protocols, sequencers, and computational resources.

Main Methods:

  • Development of the Platform for Eukaryotic Genomic Regulation (PEGR) as a web service.
  • Implementation of features for logging sample and experiment metadata.
  • Integration of data processing workflow management, reporting, and visualization capabilities.
  • Linking of experimental and computational resources within the platform.

Main Results:

  • PEGR provides a centralized system for managing complex ChIP-based NGS data.
  • The platform facilitates a more integrated understanding of sequencing data for researchers.
  • PEGR enables scientists to gain deeper insights into the scientific mechanisms of genomic regulation.

Conclusions:

  • The developed PEGR platform addresses the urgent need for metadata management in the era of rapid genome sequencing.
  • PEGR enhances the ability of scientists to understand genomic regulation by integrating diverse experimental and computational data.
  • The platform's architecture and functionalities support efficient data analysis and scientific discovery in genomics.