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

Parallel Resonance01:23

Parallel Resonance

538
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
538
Parallel Processing01:20

Parallel Processing

659
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
659
pH Scale02:41

pH Scale

79.2K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.2K
Random Error01:04

Random Error

9.2K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.2K
Random Variables01:09

Random Variables

17.6K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.6K
Randomized Experiments01:13

Randomized Experiments

8.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
8.9K

You might also read

Related Articles

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

Sort by
Same author

[Risk factors on the unintentional injuries among rural children aged 0-12 in Shaanxi province].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2013
Same author

Adcyap1r1 genotype, posttraumatic stress disorder, and depression among women exposed to childhood maltreatment.

Depression and anxiety·2013
Same author

Current status and challenge of Human Parasitology teaching in China.

Pathogens and global health·2012
Same author

Molecular characterization of heterogeneous mesenchymal stem cells with single-cell transcriptomes.

Biotechnology advances·2012
Same author

Surgical treatment of ossification of the ligamentum flavum associated with dural ossification in the thoracic spine.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2012
Same author

Broadband focusing ultrasonic transducers based on dimpled LiNbO3 plate with inversion layer.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2012

Related Experiment Video

Updated: Jan 27, 2026

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast
10:23

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast

Published on: April 20, 2017

10.0K

ASTRAL-MP: scaling ASTRAL to very large datasets using randomization and parallelization.

John Yin1, Chao Zhang2, Siavash Mirarab3

  • 1Department of Mathematics, University of California at San Diego, La Jolla, CA, USA.

Bioinformatics (Oxford, England)
|March 24, 2019
PubMed
Summary
This summary is machine-generated.

ASTRAL-MP is a new parallel version of the ASTRAL species tree inference method. It significantly speeds up analysis of large genomic datasets using CPUs and GPUs, making large-scale phylogenomics more accessible.

More Related Videos

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

363
A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.7K

Related Experiment Videos

Last Updated: Jan 27, 2026

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast
10:23

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast

Published on: April 20, 2017

10.0K
A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

363
A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
08:23

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.7K

Area of Science:

  • Phylogenomics
  • Computational Biology
  • Genomics

Background:

  • Gene trees can differ due to evolutionary processes.
  • Species tree reconstruction methods summarize gene trees.
  • ASTRAL is a popular but computationally intensive species tree method.

Purpose of the Study:

  • To address the computational limitations of ASTRAL for large genomic datasets.
  • To develop a parallelized version of ASTRAL that leverages modern hardware.

Main Methods:

  • Introduced ASTRAL-MP, a parallelized version of ASTRAL.
  • Incorporated randomization techniques to accelerate computations.
  • Utilized multi-core CPUs and Graphics Processing Units (GPUs) for parallel processing.

Main Results:

  • ASTRAL-MP demonstrates excellent scalability with increasing CPU cores.
  • The GPU-accelerated version achieved up to 158x speedup compared to ASTRAL-III.
  • Enabled analysis of datasets with 10,000 species or over 100,000 genes in under 2 days.

Conclusions:

  • ASTRAL-MP significantly enhances the computational efficiency of species tree inference.
  • The parallel implementation makes large-scale phylogenomic analyses feasible.
  • ASTRAL-MP overcomes previous limitations for analyzing massive genomic datasets.