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

Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

685
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
685
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

279
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
279
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

101
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
101
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.3K
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...
11.3K
Genetic Drift03:33

Genetic Drift

40.1K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
40.1K

You might also read

Related Articles

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

Sort by
Same author

Sequence basis of transcription initiation in the human genome.

Science (New York, N.Y.)·2024
Same author

Sequence basis of transcription initiation in human genome.

bioRxiv : the preprint server for biology·2023
Same author

Fast and efficient fully 3D PET image reconstruction using sparse system matrix factorization with GPU acceleration.

Physics in medicine and biology·2011
Same author

Profiling of the tetraspanin CD151 web and conspiracy of CD151/integrin β1 complex in the progression of hepatocellular carcinoma.

PloS one·2011
Same author

Detailed assessment of isotope ratio infrared spectroscopy and isotope ratio mass spectrometry for the stable isotope analysis of plant and soil waters.

Rapid communications in mass spectrometry : RCM·2011
Same author

[Enhancement of osteoblastic differentiation of bone marrow mesenchymal stem cells in rats by sinusoidal electromagnetic fields].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2011

Related Experiment Video

Updated: Jul 27, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

Dirichlet Diffusion Score Model for Biological Sequence Generation.

Pavel Avdeyev1, Chenlai Shi1, Yuhao Tan1

  • 1Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, USA.

Arxiv
|June 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Dirichlet diffusion score model for generating discrete biological sequences. The model effectively designs DNA sequences and solves complex constraint problems like Sudoku.

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

7.2K
Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.8K

Related Experiment Videos

Last Updated: Jul 27, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K
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

7.2K
Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.8K

Area of Science:

  • Computational Biology
  • Machine Learning
  • Bioinformatics

Background:

  • Deep generative models are crucial for designing biological sequences with complex constraints.
  • Existing diffusion models, based on stochastic differential equations (SDEs), are not inherently suited for discrete data like DNA sequences.
  • A new approach is needed to adapt continuous diffusion models for discrete sequence generation.

Approach:

  • Introduced a diffusion process in the probability simplex space, utilizing the Dirichlet distribution as the stationary distribution.
  • Developed the Dirichlet diffusion score model, enabling natural diffusion in continuous space for discrete data modeling.
  • Demonstrated the model's ability to generate samples satisfying hard constraints, using Sudoku as a test case.

Key Points:

  • The Dirichlet diffusion score model successfully generates discrete data, such as biological sequences.
  • The model can solve constraint satisfaction problems, exemplified by solving Sudoku puzzles without specific training.
  • Applied to design human promoter DNA sequences, yielding results with properties similar to natural sequences.

Conclusions:

  • The Dirichlet diffusion score model offers a powerful new framework for generative tasks involving discrete data.
  • This approach bridges the gap between continuous diffusion models and discrete sequence design.
  • The model shows promise for applications in synthetic biology and bioinformatics, including DNA sequence design.