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

Phosphodiester Linkages01:01

Phosphodiester Linkages

111.3K
Overview
Phosphodiester bond forms when a phosphoric acid molecule (H3PO4) links with two hydroxyl groups (–OH) of two other molecules, forming two ester bonds. Two water molecules are released in this process. The phosphodiester bond is commonly found in nucleic acids (DNA and RNA) and plays a critical role in their structure and function.
Phosphodiester Bonds Link Nucleotides Together
DNA and RNA are polynucleotides or long chains of nucleotides that are linked together. A nucleotide is...
111.3K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

5.6K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
5.6K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.1K
4.1K
What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

248
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
248
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.8K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.8K

You might also read

Related Articles

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

Sort by
Same author

A Benchmark of Modern Statistical Phasing Methods.

bioRxiv : the preprint server for biology·2026
Same author

Author Correction: HLA allele-calling using multi-ancestry whole-exome sequencing from the UK Biobank identifies 129 novel associations in 11 autoimmune diseases.

Communications biology·2026
Same author

Humans with function-disrupting variants in the myostatin gene (MSTN) have increased skeletal muscle mass and strength, and less adiposity.

Nature communications·2026
Same author

Removing array-specific batch effects in GWAS mega-analyses by applying a two-step imputation workflow.

Bioinformatics advances·2026
Same author

Rare coding variants in CHRNB3 associate with reduced daily cigarette smoking across ancestries.

Nature communications·2026
Same author

Practical utility of sequence-to-omics models for improving the reproducibility of genetic fine-mapping.

bioRxiv : the preprint server for biology·2026
Same journal

Cross-Domain Transfer Learning from Peptides to Metabolites Using a Multi-Property Fine-Tuned LLM.

Bioinformatics (Oxford, England)·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

Building Double-decker Traps for Early Detection of Emerald Ash Borer
06:07

Building Double-decker Traps for Early Detection of Emerald Ash Borer

Published on: October 4, 2017

8.2K

emeraLD: rapid linkage disequilibrium estimation with massive datasets.

Corbin Quick1, Christian Fuchsberger1,2,3, Daniel Taliun1

  • 1Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.

Bioinformatics (Oxford, England)
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

Estimating linkage disequilibrium (LD) is crucial for genome-wide association studies. emeraLD significantly accelerates LD estimation for large genetic datasets, improving computational efficiency.

More Related Videos

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

958
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

781

Related Experiment Videos

Last Updated: Feb 5, 2026

Building Double-decker Traps for Early Detection of Emerald Ash Borer
06:07

Building Double-decker Traps for Early Detection of Emerald Ash Borer

Published on: October 4, 2017

8.2K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

958
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

781

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate estimation of linkage disequilibrium (LD) is fundamental for genome-wide association studies (GWAS).
  • Increasingly large genetic datasets (e.g., TOPMed WGS, UK Biobank) offer improved accuracy but pose significant computational challenges for LD estimation.

Purpose of the Study:

  • To introduce emeraLD, a novel computational tool designed for efficient estimation and random access of linkage disequilibrium.
  • To address the computational burden associated with LD estimation in large-scale genetic datasets.

Main Methods:

  • Leveraging sparsity and haplotype structure for accelerated LD estimation.
  • Implementation in C++ for high performance.

Main Results:

  • emeraLD achieves LD estimation up to 2 orders of magnitude faster than existing tools.
  • The tool is optimized for handling large genetic datasets.

Conclusions:

  • emeraLD provides a computationally efficient solution for LD estimation.
  • The tool facilitates more scalable and accessible genome-wide association studies using large genetic resources.