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

Cluster, function and promoter: analysis of yeast expression array.

J Zhu1, M Q Zhang

  • 1Cold Spring Harbor Lab., NY 11724, USA.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|July 21, 2000
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

Identification of seven serotypes of bluetongue virus from the People's Republic of China.

The Veterinary record·2001
Same author

IL-10 and IFN-gamma in Guillain-Barré syndrome. Network Members of the Swedish Epidemiological Study Group.

Journal of neuroimmunology·2000
Same author

The ocular pharmacokinetics of ketanserin and its metabolite, ketanserinol, in albino rabbits.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics·2000
Same author

P0 protein peptide 180-199 together with pertussis toxin induces experimental autoimmune neuritis in resistant C57BL/6 mice.

Journal of neuroscience research·2000
Same author

p41 as a possible marker for cell death is generated by caspase cleavage of p42/SETbeta in irradiated MOLT-4 cells.

Biochemical and biophysical research communications·2000
Same author

A novel synthesis of biaryl-containing macrocycles by a domino Miyaura arylboronate formation: intramolecular Suzuki reaction.

Organic letters·2000

This study explores integrating gene expression, function, and promoter data for better biological insights. Combining these analyses improves understanding of gene regulation and temporal expression patterns in yeast.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Gene clustering is crucial for understanding gene expression and regulation.
  • Integrating expression profiles, functional categories, and promoter regions offers a more comprehensive view.
  • Analyzing large-scale gene expression data requires robust computational methods.

Purpose of the Study:

  • To explore and compare different strategies for analyzing yeast temporal gene expression data.
  • To investigate the impact of integrating gene expression, function, and promoter information.
  • To develop and apply novel algorithms for clustering and promoter analysis.

Main Methods:

  • Developed a largest-first algorithm for quality-controlled clustering of time-series gene expression data.

Related Experiment Videos

  • Developed a core-extension algorithm for promoter region analysis.
  • Compared three distinct approaches for integrating expression profiles, functional categorization, and promoter analysis.

    • Main Results:

    • Demonstrated that integrating gene expression, function, and promoter data provides a more thorough understanding of gene regulation.
    • The choice of starting point (expression, function, or promoter) influences the resulting gene clusters.
    • The developed algorithms facilitate robust analysis of large-scale biological datasets.

    Conclusions:

    • Combining gene expression, functional categorization, and promoter analysis is essential for a holistic understanding of gene regulation.
    • Novel clustering and promoter analysis algorithms enhance the study of temporal gene expression data.
    • The findings provide a framework for analyzing complex biological datasets in systems biology research.