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

You might also read

Related Articles

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

Sort by
Same author

Uncovering EMT-Associated Molecular Mechanisms Through Integrative Transcriptomic and Machine Learning Analyses.

Frontiers in bioscience (Landmark edition)·2026
Same author

Factors associated with a reduction in the preventive effect of intravenous dexamethasone on rebound pain after axillary brachial plexus block.

British journal of anaesthesia·2025
Same author

Novel Minimal Absent Words Detected in Influenza A Virus.

Viruses·2025
Same author

The DNA Damage Response as an Auxiliary Indicator of Senescence in Cancer: A User-Friendly Toolkit of Markers and Detection Methods.

Methods in molecular biology (Clifton, N.J.)·2025
Same author

Computer-Aided Identification and Design of Ligands for Multi-Targeting Inhibition of a Molecular Acute Myeloid Leukemia Network.

Cancers·2024
Same author

Polycystic Ovary Syndrome and Ferroptosis: Following Ariadne's Thread.

Biomedicines·2024

Related Experiment Video

Updated: Apr 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

19.4K

Human cancer databases (review).

Athanasia Pavlopoulou1, Demetrios A Spandidos2, Ioannis Michalopoulos1

  • 1Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, Athens 11527, Greece.

Oncology Reports
|November 6, 2014
PubMed
Summary

Cancer research generates vast, complex data. This review highlights key databases and bioinformatics tools essential for analyzing cancer information and advancing therapy.

More Related Videos

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
11:38

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

Published on: May 10, 2016

12.4K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

8.6K

Related Experiment Videos

Last Updated: Apr 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

19.4K
High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
11:38

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

Published on: May 10, 2016

12.4K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

8.6K

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Cancer is a leading non-communicable disease, causing 14.6% of global deaths.
  • Over 100 cancer types and 500+ cancer genes are known, driving extensive research.
  • Diverse data sources (genomics, proteomics, epigenomics) create complex, heterogeneous datasets.

Purpose of the Study:

  • To review central, publicly accessible cancer databases.
  • To present resources for data delivery and analysis.
  • To highlight databases specific to particular cancer types.

Main Methods:

  • Literature review of cancer-associated data resources.
  • Identification and categorization of relevant databases.
  • Description of available bioinformatic analysis tools.

Main Results:

  • Identification of key public databases for cancer research.
  • Overview of resources for accessing and analyzing cancer data.
  • Examples of cancer-specific databases and bioinformatic tools provided.

Conclusions:

  • Efficient management and analysis of cancer data are critical challenges.
  • Publicly available databases and bioinformatic tools are vital for cancer research.
  • This review provides a guide to essential resources for investigators.