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 Experiment Videos

Integrating parallelization strategies for linkage analysis

S K Gupta1, A A Schäffer, A L Cox

  • 1Department of Computer Science, Rice University, Houston, Texas 77005-1892, USA.

Computers and Biomedical Research, an International Journal
|April 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Tumor and blood B-cell abundance outperforms established immune checkpoint blockade response prediction signatures in head and neck cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

Genetic basis for variation in plasma IL-18 levels in persons with chronic hepatitis C virus and human immunodeficiency virus-1 infections.

Genes and immunity·2017
Same author

Phylogenetic analysis of full-length, early infection, hepatitis C virus genomes among people with intravenous drug use: the InC<sup>3</sup> Study.

Journal of viral hepatitis·2016
Same author

Analysis of resistance-associated substitutions in acute hepatitis C virus infection by deep sequencing across six genotypes and three continents.

Journal of viral hepatitis·2016
Same author

Infectious canine hepatitis in red foxes (Vulpes vulpes) in wildlife rescue centres in the UK.

The Veterinary record·2016
Same author

Identification of the 1B vaccine strain of Chlamydia abortus in aborted placentas during the investigation of toxaemic and systemic disease in sheep.

New Zealand veterinary journal·2015
Same journal

Wavelet domain nonlinear filtering for evoked potential signal enhancement.

Computers and biomedical research, an international journal·2001
Same journal

Time-frequency analysis of the RT and RR variability to stratify hypertrophic cardiomyopathy patients.

Computers and biomedical research, an international journal·2001
Same journal

Controlled auxotonic twitch in papillary muscle: a new computer-based control approach.

Computers and biomedical research, an international journal·2001
Same journal

Controlling for chance agreement in the validation of medical expert systems with no gold standard: PNEUMON-IA and RENOIR revisited.

Computers and biomedical research, an international journal·2001
Same journal

Artificial neural networks compared to factor analysis for low-dimensional classification of high-dimensional body fat topography data of healthy and diabetic subjects.

Computers and biomedical research, an international journal·2000
Same journal

On the parallelization of linkmap from the LINKAGE/FASTLINK package.

Computers and biomedical research, an international journal·2000
See all related articles

This study presents an improved parallel implementation of the ILINK program for genetic linkage analysis. The enhanced version accelerates computation by combining parallel gradient estimation and likelihood evaluation strategies.

Area of Science:

  • Computational Biology
  • Genetics
  • Bioinformatics

Background:

  • The LINKAGE package is a widely used tool for genetic linkage analysis.
  • Previous implementations of the ILINK program had limitations in computational efficiency.

Purpose of the Study:

  • To develop a more efficient parallel implementation of the ILINK program.
  • To improve the running time of genetic linkage analyses.

Main Methods:

  • Integrated parallel estimation of the gradient with parallel likelihood evaluation.
  • Combined adaptive and static loadbalancing strategies.
  • Investigated pedigree partitioning strategies.

Main Results:

  • The new implementation significantly improves running time.

Related Experiment Videos

  • Combining multiple parallel strategies is crucial for optimal performance.
  • Pedigree partitioning strategy was found to slow down the program.

    • Conclusions:

    • The enhanced parallel ILINK program offers substantial speed improvements for genetic linkage analysis.
    • A hybrid approach combining various parallelization strategies is essential for maximizing computational efficiency.
    • Further research is needed to optimize pedigree partitioning for parallel processing.