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

The Nucleosome Core Particle02:10

The Nucleosome Core Particle

14.4K
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins.
The paradox
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their main responsibility is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. While on the other hand, they must allow polymerase enzymes to access DNA...
14.4K
The Nucleosome Core Particle01:12

The Nucleosome Core Particle

2.3K
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins.
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their primary aim is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. On the other hand, they must allow polymerase enzymes to access histone-bound DNA during...
2.3K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

995
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
995
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

4.7K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
4.7K
Development of Analytical Methods01:21

Development of Analytical Methods

2.2K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.2K
Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

2.8K
In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
2.8K

You might also read

Related Articles

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

Sort by
Same author

EffortNet: A Deep Learning Framework for Objective Assessment of Speech Enhancement Technologies Using EEG-Based Alpha Oscillations.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Toward the simultaneous detection of multiple diseases with a highly cost-effective cell-free DNA methylome test.

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

Steering Protein Generative Models at Test-Time for Guided AAV2 Capsid Design.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same author

Reducing demographic bias in biomedical machine learning for cancer detection using cfDNA methylation.

Genome biology·2026
Same author

Author Correction: Sensitive detection of tumor mutations from blood and its application to immunotherapy prognosis.

Nature communications·2026
Same author

Olfactory inputs to appetite neurons in the hypothalamus.

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

Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread.

Journal of parallel and distributed computing·2024
Same journal

Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data.

Journal of parallel and distributed computing·2021
Same journal

Fast GPU 3D diffeomorphic image registration.

Journal of parallel and distributed computing·2020
Same journal

Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent.

Journal of parallel and distributed computing·2020
Same journal

Modeling and analysis of epidemic spreading on community networks with heterogeneity.

Journal of parallel and distributed computing·2020
Same journal

Parallel Algorithms for Switching Edges in Heterogeneous Graphs.

Journal of parallel and distributed computing·2017
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Towards High Performance Data Analytic on Heterogeneous Many-core Systems: A Study on Bayesian Sequential

Bo-Cheng Lai1, Tung-Yu Wu2, Tsou-Han Chiu3

  • 1Nation Chiao-Tung University, 1001 Da-Hsueh Rd., Hsinchu, Taiwan 30010.

Journal of Parallel and Distributed Computing
|March 16, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a high-performance Bayesian Sequential Partitioning (BSP) design using CPU/GPGPU systems. The new method significantly accelerates density estimation for high-dimensional data, achieving up to 78.76x speedup.

Keywords:
Data processingdesign and optimizationheterogeneous systemmany-core systemperformance analysis

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.6K

Related Experiment Videos

Last Updated: Jan 27, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions
09:54

Using Single-Worm Data to Quantify Heterogeneity in Caenorhabditis elegans-Bacterial Interactions

Published on: July 22, 2022

3.6K

Area of Science:

  • Computational Statistics
  • High-Dimensional Data Analysis
  • Parallel Computing

Background:

  • Bayesian Sequential Partitioning (BSP) is crucial for density estimation in high-dimensional spaces.
  • Traditional BSP faces computational challenges with large datasets.
  • Growing data volumes necessitate efficient processing methods.

Purpose of the Study:

  • To develop a high-performance BSP design for handling large, high-dimensional datasets.
  • To leverage heterogeneous CPU/GPGPU systems for accelerated computation.
  • To overcome design challenges in current BSP implementations.

Main Methods:

  • Implementation of a heterogeneous system combining a host CPU and a K80 GPGPU.
  • Application of novel data structure and execution management techniques.
  • Optimization for exploiting the parallel processing capabilities of many-core architectures.

Main Results:

  • Achieved an average runtime enhancement of 48x compared to a high-end CPU parallel design.
  • Demonstrated a maximum speedup of 78.76x.
  • Successfully alleviated system bottlenecks in BSP computation.

Conclusions:

  • The proposed CPU/GPGPU design offers significant performance improvements for BSP.
  • Heterogeneous computing is effective for accelerating computationally intensive statistical methods.
  • This approach enables efficient density estimation for massive, high-dimensional data.