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

Relating Angular And Linear Quantities - II01:05

Relating Angular And Linear Quantities - II

5.5K
In the case of circular motion, the linear tangential speed of a particle at a radius from the axis of rotation is related to the angular velocity by the relation:
5.5K
Relating Angular And Linear Quantities - I01:09

Relating Angular And Linear Quantities - I

6.6K
If the rotational definitions are compared with the definitions of linear kinematic variables from motion along a straight line and motion in two and three dimensions, we can observe a mapping of the linear variables to the rotational ones.
When comparing the linear and rotational variables individually, the linear variable of position has physical units of meters, whereas the angular position variable has dimensionless units of radians, as it is the ratio of two lengths. The linear velocity...
6.6K
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

204
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
204
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

74
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...
74
Numerical Calculations01:24

Numerical Calculations

353
In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
353
Measurements of Strain01:27

Measurements of Strain

731
Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain...
731

You might also read

Related Articles

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

Sort by
Same author

Mount Fuji's stubby peak: the genotypic density of additive landscapes near maximal fitness.

Genetics·2026
Same author

A molecular timer couples organism-wide temporal identity to developmental checkpoints.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing.

Journal of mathematical biology·2026
Same author

PoolParty: streamlined design of DNA sequence libraries in Python.

bioRxiv : the preprint server for biology·2026
Same author

Genetic background shapes AI-predicted variant effects.

bioRxiv : the preprint server for biology·2026
Same author

Mount Fuji's stubby peak: the genotypic density of additive landscapes near maximal fitness.

bioRxiv : the preprint server for biology·2026
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jun 25, 2025

Fabrication and Implantation of Miniature Dual-element Strain Gages for Measuring In Vivo Gastrointestinal Contractions in Rodents.
09:29

Fabrication and Implantation of Miniature Dual-element Strain Gages for Measuring In Vivo Gastrointestinal Contractions in Rodents.

Published on: September 18, 2014

10.3K

Gauge fixing for sequence-function relationships.

Anna Posfai1, Juannan Zhou1,2, David M McCandlish1

  • 1Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724.

Biorxiv : the Preprint Server for Biology
|May 27, 2024
PubMed
Summary
This summary is machine-generated.

We developed new methods to fix "gauge freedoms" in quantitative biological models. This allows for clearer interpretation of sequence-function relationships in computational biology.

Keywords:
epistasismodel interpretabilitynon-identifiabilityregressionsequence space

More Related Videos

Ultrasonic Fatigue Testing in the Tension-Compression Mode
06:54

Ultrasonic Fatigue Testing in the Tension-Compression Mode

Published on: March 7, 2018

10.7K
Mechanical Manipulation of Neurons to Control Axonal Development
10:02

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

10.5K

Related Experiment Videos

Last Updated: Jun 25, 2025

Fabrication and Implantation of Miniature Dual-element Strain Gages for Measuring In Vivo Gastrointestinal Contractions in Rodents.
09:29

Fabrication and Implantation of Miniature Dual-element Strain Gages for Measuring In Vivo Gastrointestinal Contractions in Rodents.

Published on: September 18, 2014

10.3K
Ultrasonic Fatigue Testing in the Tension-Compression Mode
06:54

Ultrasonic Fatigue Testing in the Tension-Compression Mode

Published on: March 7, 2018

10.7K
Mechanical Manipulation of Neurons to Control Axonal Development
10:02

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

10.5K

Area of Science:

  • Computational biology
  • Biophysics
  • Genomics

Background:

  • Quantitative models of sequence-function relationships are crucial in computational biology.
  • Model parameter interpretation is hindered by 'gauge freedoms'—degrees of freedom that don't alter predictions.

Purpose of the Study:

  • To develop strategies for fixing gauge freedoms in sequence-function models.
  • To enhance the interpretability of quantitative biological models.

Main Methods:

  • Derived an analytically tractable family of gauges for sequence-function relationships.
  • Applied gauge-fixing strategies to models with all-order, additive, pairwise, and higher-order interactions.

Main Results:

  • Identified a versatile family of gauges applicable to diverse model types.
  • Demonstrated gauge choices for exploring complex activity landscapes.
  • Showcased gauge-fixing for revealing simplified, locally accurate models.

Conclusions:

  • Gauge-fixing provides practical strategies for interpreting biological sequence-function models.
  • This approach facilitates model exploration and enhances understanding of biological sequences.