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

State Space Representation01:27

State Space Representation

581
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
581
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

218
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
218
Control Volume and System Representations01:16

Control Volume and System Representations

1.6K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.6K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.7K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.7K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.5K
4.5K
Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

551
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
551

You might also read

Related Articles

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

Sort by
Same author

An Immunothrombotic Extracellular Vesicle mRNA Profile Associated with Thrombosis in Lung Adenocarcinoma.

International journal of molecular sciences·2026
Same author

NG2-ITGA4 axis regulates Rho GTPases and leukemic aggressiveness in KMT2A-r B-ALL and is targetable with natalizumab.

Blood·2026
Same author

Cancer cells adopt unprecedented strategies to produce a molecule that protects them from iron-dependent death.

Nature·2026
Same author

Fibroblastic aspartoacylase suppresses TGFβ-mediated responses and cancer progression.

Nature communications·2026
Same author

IRF2 is an essential transcription factor with pathogenic and prognostic impact in multiple myeloma.

Blood·2026
Same author

Targeted KRASG12V Degradation in vivo Elicits Lung Adenocarcinoma Regression with Subsequent Relapse from Dysregulated Proteolysis.

Cancer research·2026

Related Experiment Video

Updated: Feb 5, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

774

CANCERTOOL: A Visualization and Representation Interface to Exploit Cancer Datasets.

Ana R Cortazar1,2, Veronica Torrano1,2, Natalia Martín-Martín1,2

  • 1CIC bioGUNE, Bizkaia Technology Park, Bizkaia, Spain.

Cancer Research
|September 21, 2018
PubMed
Summary
This summary is machine-generated.

CANCERTOOL is a free web tool simplifying transcriptomics data analysis for common cancers. It empowers researchers without bioinformatics expertise to visualize gene expression and generate publishable reports from public datasets.

More Related Videos

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.9K
Exploiting Live Imaging to Track Nuclei During Myoblast Differentiation and Fusion
09:03

Exploiting Live Imaging to Track Nuclei During Myoblast Differentiation and Fusion

Published on: April 13, 2019

8.7K

Related Experiment Videos

Last Updated: Feb 5, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

774
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.9K
Exploiting Live Imaging to Track Nuclei During Myoblast Differentiation and Fusion
09:03

Exploiting Live Imaging to Track Nuclei During Myoblast Differentiation and Fusion

Published on: April 13, 2019

8.7K

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • OMICs technologies have generated vast amounts of human sample data, including genomes and transcriptomes.
  • Existing web tools for OMICs data analysis are often difficult for non-bioinformatician researchers to use.
  • This limits the ability of many researchers to extract valuable information from public cancer datasets.

Purpose of the Study:

  • To develop CANCERTOOL, a web-based interface to simplify the analysis of public transcriptomics data for prevalent cancers (breast, prostate, lung, colorectal).
  • To overcome limitations in accessing and interpreting large-scale cancer gene expression datasets for researchers lacking bioinformatics support.

Main Methods:

  • Developed a user-friendly, web-based interface (CANCERTOOL) for analyzing public transcriptomics datasets.
  • Integrated visualization of gene expression data, gene-to-gene correlations across multiple datasets, and functional enrichment analysis using multiple databases.
  • Enabled generation of customized reports including editable figures, statistical analyses, and raw data access.

Main Results:

  • CANCERTOOL provides rapid and comprehensive visualization of gene expression data for selected genes in well-annotated cancer datasets.
  • The tool facilitates gene-to-gene correlation analysis and functional enrichment analysis across up to 11 databases simultaneously.
  • Customized reports with editable figures and statistical analyses are generated, allowing for direct use in publications.

Conclusions:

  • CANCERTOOL offers a simple, freely accessible interface for interrogating cancer transcriptomics data.
  • It empowers researchers to obtain high-quality, publishable representations of data, aiding cancer research at all levels.
  • The tool significantly facilitates access to and utilization of public transcriptomics data for research groups without dedicated bioinformatics support.