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

Faster multipoint linkage analysis using Fourier transforms

L Kruglyak1, E S Lander

  • 1Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|May 16, 1998
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

Rare germline variants in ATM are associated with chronic lymphocytic leukemia.

Leukemia·2017
Same author

Whole-genome sequencing reveals activation-induced cytidine deaminase signatures during indolent chronic lymphocytic leukaemia evolution.

Nature communications·2015
Same author

SNP genotyping defines complex gene-flow boundaries among African malaria vector mosquitoes.

Science (New York, N.Y.)·2010
Same author

Genome sequence, comparative analysis, and population genetics of the domestic horse.

Science (New York, N.Y.)·2009
Same author

Genetic dissection of complex traits in yeast: insights from studies of gene expression and other phenotypes in the BYxRM cross.

Cold Spring Harbor symposia on quantitative biology·2009
Same author

cDNA sequences for transcription factors and signaling proteins of the hemichordate Saccoglossus kowalevskii: efficacy of the expressed sequence tag (EST) approach for evolutionary and developmental studies of a new organism.

The Biological bulletin·2008
Same journal

GMSA: A Graph Matching and Point Cloud Registration-Based Method for Spatial Transcriptomics Data Alignment.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology·2026
See all related articles

We developed a faster algorithm for genetic linkage analysis using hidden Markov models (HMMs). This new method significantly improves computational efficiency for analyzing human pedigrees and identifying disease-related genes.

Area of Science:

  • Human genetics
  • Computational biology
  • Bioinformatics

Background:

  • Genetic linkage analysis is crucial for identifying genes associated with human diseases.
  • Simultaneously analyzing multiple linked markers in large pedigrees presents significant computational challenges.
  • Previous methods using hidden Markov models (HMMs) offered efficiency for moderate-sized pedigrees.

Purpose of the Study:

  • To develop a computationally faster algorithm for a key step in HMM-based genetic linkage analysis.
  • To enhance the performance of the GENEHUNTER software package for pedigree analysis.
  • To explore novel research avenues in pedigree analysis through advanced computational techniques.

Main Methods:

  • Implementation of a novel, accelerated algorithm for the core HMM calculation.

Related Experiment Videos

  • Utilizing fast Fourier transforms on pedigree inheritance patterns.
  • Integration of the new algorithm into the existing GENEHUNTER software.

    • Main Results:

    • Substantial improvement in the overall performance of genetic linkage analysis.
    • Demonstrated increased speed and efficiency in processing complex pedigree data.
    • The new Fourier-based approach enhances the capability of GENEHUNTER.

    Conclusions:

    • The developed algorithm significantly accelerates HMM-based genetic linkage analysis.
    • This advancement provides a more powerful tool for researchers studying human genetic diseases.
    • The Fourier representation opens new possibilities for future research in computational genetics.