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Related Concept Videos

Yeast Signaling01:28

Yeast Signaling

Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...

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Related Experiment Video

Updated: May 24, 2026

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

Transparent mediation-based access to multiple yeast data sources using an ontology driven interface.

Abdelaali Briache, Kamar Marrakchi, Amine Kerzazi

    BMC Bioinformatics
    |March 1, 2012
    PubMed
    Summary
    This summary is machine-generated.

    YeastMed offers biologists integrated access to Saccharomyces cerevisiae data from multiple sources. This system simplifies data retrieval, overcoming the complexity of querying disparate biological databases.

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    Last Updated: May 24, 2026

    ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
    11:19

    ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

    Published on: July 3, 2017

    Microarray Analysis for Saccharomyces cerevisiae
    13:17

    Microarray Analysis for Saccharomyces cerevisiae

    Published on: April 7, 2011

    High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing
    07:55

    High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

    Published on: May 21, 2020

    Area of Science:

    • * Molecular Biology
    • * Bioinformatics
    • * Systems Biology

    Background:

    • * Saccharomyces cerevisiae is a widely used model organism for eukaryotic research.
    • * Biological data for yeast is fragmented across numerous databases (SGD, Yeastract, etc.).
    • * Manual integration of data from these heterogeneous sources is time-consuming and complex for biologists.

    Purpose of the Study:

    • * To develop a unified system for accessing Saccharomyces cerevisiae biological data.
    • * To simplify data retrieval for biologists lacking bioinformatics expertise.
    • * To enable simultaneous querying of multiple yeast data sources.

    Main Methods:

    • * Development of YeastMed, an XML and mediator-based system.
    • * Utilization of Semantic Web technologies and a domain ontology.
    • * Implementation of query transformation using SB-KOM and Data Services.

    Main Results:

    • * YeastMed provides transparent and simultaneous access to integrated yeast data.
    • * User queries are processed via a simple, form-based web interface.
    • * The system leverages XML and Semantic Web technologies for data integration.

    Conclusions:

    • * YeastMed is the first mediation system specifically designed for integrating yeast data.
    • * The system facilitates easier access to relevant data from multiple sources for biologists.
    • * YeastMed offers a user-friendly interface and is accessible online.