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 Processing01:20

Parallel Processing

191
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...
191
Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

7.1K
Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
7.1K
Multimachine Stability01:25

Multimachine Stability

208
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
208
Sanger Sequencing01:57

Sanger Sequencing

755.5K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
755.5K

You might also read

Related Articles

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

Sort by
Same author

Singletrack: an algorithm for improving memory consumption and performance of gap-affine sequence alignment.

Bioinformatics (Oxford, England)·2026
Same author

Prolyl tRNA Synthetase Is Required for Mammarenavirus Multiplication.

Viruses·2026
Same author

Prolyl tRNA Synthetase Is Required for Mammarenavirus Multiplication.

bioRxiv : the preprint server for biology·2026
Same author

ILVES: Accurate and Efficient Bond Length and Angle Constraints in Molecular Dynamics.

Journal of chemical theory and computation·2025
Same author

QuickEd: high-performance exact sequence alignment based on bound-and-align.

Bioinformatics (Oxford, England)·2025
Same author

Geopolitics, climate change and health: what can we expect from the G20 Summit (Rio de Janeiro, Brazil, 2024)?

Cadernos de saude publica·2025

Related Experiment Video

Updated: Aug 4, 2025

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.1K

Porting and Optimizing BWA-MEM2 Using the Fujitsu A64FX Processor.

Ruben Langarita, Adria Armejach, Pablo Ibanez

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |April 5, 2023
    PubMed
    Summary
    This summary is machine-generated.

    We optimized BWA-MEM2 for the AArch64 architecture, enhancing its energy efficiency for human genome sequencing. The Fujitsu A64FX processor offers improved energy-to-solution for precision medicine workloads.

    More Related Videos

    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
    13:58

    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

    Published on: September 28, 2016

    11.8K
    High-Throughput Metabolic Profiling for Model Refinements of Microalgae
    11:07

    High-Throughput Metabolic Profiling for Model Refinements of Microalgae

    Published on: December 4, 2021

    3.8K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
    07:55

    A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

    Published on: March 7, 2019

    8.1K
    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
    13:58

    Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics

    Published on: September 28, 2016

    11.8K
    High-Throughput Metabolic Profiling for Model Refinements of Microalgae
    11:07

    High-Throughput Metabolic Profiling for Model Refinements of Microalgae

    Published on: December 4, 2021

    3.8K

    Area of Science:

    • Computational biology
    • High-performance computing

    Background:

    • Sequence alignment is crucial for precision medicine.
    • BWA-MEM2 is a widely used read mapping tool.
    • Existing BWA-MEM2 implementations use x86_64 specific intrinsics.

    Purpose of the Study:

    • Port BWA-MEM2 to the AArch64 architecture.
    • Evaluate performance and energy-to-solution on Fujitsu's A64FX processor.
    • Compare against Intel Skylake systems.

    Main Methods:

    • Modified BWA-MEM2 code to utilize Arm's Scalable Vector Extensions (SVE).
    • Implemented architecture-specific optimizations for the A64FX processor.
    • Benchmarked performance and energy consumption.

    Main Results:

    • Successfully ported BWA-MEM2 to AArch64 using SVE.
    • A64FX system showed lower raw performance than Skylake.
    • A64FX achieved 11.6% better average energy-to-solution.

    Conclusions:

    • The AArch64 port of BWA-MEM2 demonstrates competitive energy efficiency.
    • SVE enables adaptation of performance-critical kernels for new architectures.
    • This work supports the use of AArch64 in large-scale genomic analyses.