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

Expanding yeast knowledge online

K Dolinski1, C A Ball, S A Chervitz

  • 1Department of Genetics, Stanford University, CA 94305-5120, USA.

Yeast (Chichester, England)
|January 13, 1999
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

Genome-wide analysis in 756,646 individuals provides first genetic evidence that <i>ACE2</i> expression influences COVID-19 risk and yields genetic risk scores predictive of severe disease.

medRxiv : the preprint server for health sciences·2021
Same author

Providing Access to Genomic Variant Knowledge in a Healthcare Setting: A Vision for the ClinGen Electronic Health Records Workgroup.

Clinical pharmacology and therapeutics·2015
Same author

Evaluation of impact of shale gas operations in the Barnett Shale region on volatile organic compounds in air and potential human health risks.

The Science of the total environment·2013
Same author

Central sleep-disordered breathing and the effects of oxygen therapy in infants with Prader-Willi syndrome.

Archives of disease in childhood·2013
Same author

Physiologically based pharmacokinetic model for humans orally exposed to chromium.

Chemico-biological interactions·2013
Same author

Gene Ontology annotations and resources.

Nucleic acids research·2012
Same journal

Comparative Analysis of Stress Adaptation in the Yeast Microbiome of Cactus.

Yeast (Chichester, England)·2026
Same journal

Enhanced Production of Recombinant Thermophilic Xylanase X11P in Ogataea polymorpha via In-Silico Signal Peptide Discovery and Fed-Batch Fermentation.

Yeast (Chichester, England)·2026
Same journal

Sugar Metabolisms Altered By Undissociated Forms of Organic Acids Based on the Emergence of [GAR<sup>+</sup>] Cells in Saccharomyces cerevisiae.

Yeast (Chichester, England)·2026
Same journal

Methods to Study Mitochondrial Metabolism and Homeostasis in Fission Yeast.

Yeast (Chichester, England)·2026
Same journal

Genetic Tools in the Nakaseomyces clade for Evolutionary Comparisons of Signal Transduction Pathways.

Yeast (Chichester, England)·2026
Same journal

rDNAmine: A New Tool for the Analysis of Long Repetitive Sequences.

Yeast (Chichester, England)·2026
See all related articles

The Saccharomyces cerevisiae genome sequencing project has generated vast yeast genetics data. This review guides biologists to essential World Wide Web (WWW) resources for efficient data analysis and integration.

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • The Saccharomyces cerevisiae genome sequencing project has yielded extensive genetic and molecular biology data.
  • Advancements in large-scale genome analysis technology continue to accelerate data generation.
  • Efficient data management is crucial for researchers to leverage new biological knowledge.

Purpose of the Study:

  • To review and present available World Wide Web (WWW) data resources for yeast genetics and molecular biology.
  • To familiarize biologists with online tools for data analysis and integration.
  • To highlight the importance of accessible data in the era of comparative genomics.

Main Methods:

  • Literature review of publicly accessible World Wide Web (WWW) resources.

Related Experiment Videos

  • Categorization of data resources based on functionality (e.g., data storage, analysis tools).
  • Assessment of resource relevance to Saccharomyces cerevisiae research.

    • Main Results:

    • Identification of key WWW databases and bioinformatics tools for yeast genetics.
    • Examples of integrated data resources linking yeast information with other genomic data.
    • Discussion of the growing need for interconnected biological databases.

    Conclusions:

    • The World Wide Web (WWW) offers a growing array of essential resources for yeast researchers.
    • Effective utilization of these online tools is vital for advancing biological discovery.
    • Interdisciplinary data integration is key for future genomic research.