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

98.0K
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....
98.0K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

488
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
488
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

11.6K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
11.6K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

4.0K
4.0K
Sanger Sequencing01:57

Sanger Sequencing

773.7K
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...
773.7K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

12.7K
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...
12.7K

You might also read

Related Articles

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

Sort by
Same author

Clustrophile 2: Guided Visual Clustering Analysis.

IEEE transactions on visualization and computer graphics·2018
Same author

Task-Based Effectiveness of Basic Visualizations.

IEEE transactions on visualization and computer graphics·2018
Same author

Sampling for Scalable Visual Analytics.

IEEE computer graphics and applications·2017
Same author

Learning Perceptual Kernels for Visualization Design.

IEEE transactions on visualization and computer graphics·2015
Same author

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

IEEE transactions on medical imaging·2014
Same author

Visual embedding: a model for visualization.

IEEE computer graphics and applications·2014
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.7K

Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks.

Victor Dibia, Cagatay Demiralp

    IEEE Computer Graphics and Applications
    |June 28, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Data2Vis, a neural translation model, automatically generates data visualizations from datasets. This approach simplifies visualization creation for users with limited skills and time, producing comparable results to manual methods.

    More Related Videos

    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
    04:58

    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

    Published on: December 13, 2024

    4.0K
    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

    7.5K

    Related Experiment Videos

    Last Updated: Jan 22, 2026

    Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
    07:30

    Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

    Published on: June 8, 2020

    12.7K
    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
    04:58

    Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

    Published on: December 13, 2024

    4.0K
    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

    7.5K

    Area of Science:

    • Computer Science
    • Data Visualization
    • Machine Learning

    Background:

    • Creating effective data visualizations is challenging for users with limited time and expertise.
    • Existing tools often require manual attribute selection, transformation decisions, and mapping specifications.

    Purpose of the Study:

    • To introduce Data2Vis, an end-to-end trainable neural translation model for automated visualization generation.
    • To address the challenges of creating visualizations efficiently and effectively.

    Main Methods:

    • Formulating visualization generation as a language translation problem.
    • Training a multilayered attention-based encoder-decoder network with long short-term memory (LSTM) units on a corpus of visualization specifications.
    • Mapping data specifications to visualization specifications in the declarative language Vega-Lite.

    Main Results:

    • The model learns visualization specification syntax, appropriate data transformations (count, bins, mean), and common data selection patterns.
    • New metrics for evaluating automated visualization generation (language syntax validity, visualization grammar syntax validity) were introduced.
    • Bidirectional models with attention mechanisms proved effective for this task.

    Conclusions:

    • Data2Vis generates high-quality visualizations comparable to manually created ones.
    • The model significantly reduces the time required for visualization creation.
    • Data2Vis has the potential to learn and scale complex visualization strategies.