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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

You might also read

Related Articles

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

Sort by
Same author

Telework and Employee Well-Being During the COVID-19 Pandemic: A Two-Wave Survey of Employees at a Texas Health Sciences University.

Archivos de prevencion de riesgos laborales·2026
Same author

Highly curved large-format sensors for infrared imaging.

Optics express·2026
Same author

CRISPR-Cas9 Genome and Double-Knockout Screening to Identify Novel Therapeutic Targets for Chemoresistance in Triple-Negative Breast Cancer.

Cancers·2025
Same author

High-Accuracy Deep Learning-Based Detection and Classification Model in Color-Shift Keying Optical Camera Communication Systems.

Sensors (Basel, Switzerland)·2025
Same author

Real world outcomes of momelotinib in myelofibrosis patients with anemia: results from the MOMGEMFIN study.

Blood cancer journal·2025
Same author

Single Large-Scale Mitochondrial Deletion Syndromes: Neuroimaging Phenotypes and Longitudinal Progression in Pediatric Patients.

AJNR. American journal of neuroradiology·2025

Related Experiment Video

Updated: Jun 6, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case

Terry Camerlengo1, Hatice Gulcin Ozer, Pearlly Yan

  • 1The Ohio State University Columbus, Ohio, USA.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
|December 15, 2010
PubMed
Summary

Integrating large epigenetic data repositories with analysis tools is difficult. This paper presents three universal methods to connect QUEST with GenePattern, aiding high throughput data analysis.

More Related Videos

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Related Experiment Videos

Last Updated: Jun 6, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput experimental data, such as gene microarrays and ChIP-seq, generate large datasets.
  • Analyzing this data within large data depositories presents significant challenges.
  • Existing systems often struggle to integrate diverse data types with analysis platforms.

Purpose of the Study:

  • To address the challenge of data analysis in large epigenetic experiment repositories.
  • To present and evaluate methods for integrating the QUEST data depository with the GenePattern analysis platform.
  • To provide a universal framework for integrating similar database systems with web-based analysis tools.

Main Methods:

  • Developed three distinct methods for integrating the QUEST database with the GenePattern web-based analysis platform.
  • Focused on creating universal integration strategies applicable to various data depository systems.
  • Ensured compatibility with high-throughput experimental data, including gene microarrays and ChIP-seq.

Main Results:

  • Successfully demonstrated three viable methods for QUEST-GenePattern integration.
  • Validated the universality of the proposed integration approaches.
  • Established a framework for resolving data analysis integration challenges in similar database systems.

Conclusions:

  • The presented integration methods effectively enable data analysis for large epigenetic experiment datasets.
  • These universal methods offer a scalable solution for connecting data depositories with analysis platforms.
  • The findings provide a valuable model for enhancing data accessibility and analysis in bioinformatics.