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Updated: Jan 5, 2026

Microarray Analysis for Saccharomyces cerevisiae

Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

Transcriptome visualization and data availability at the Saccharomyces Genome Database.

Patrick C Ng¹, Edith D Wong¹, Kevin A MacPherson²

¹Department of Genetics, Stanford University, Palo Alto, CA 94304-5477, USA.

Nucleic Acids Research

|October 16, 2019

Summary

This summary is machine-generated.

The Saccharomyces Genome Database now visualizes yeast RNA transcripts, aiding research into gene function and regulation. This enhanced resource clarifies Saccharomyces cerevisiae biological processes for scientists globally.

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Last Updated: Jan 5, 2026

Microarray Analysis for Saccharomyces cerevisiae

Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae

Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae

Published on: June 14, 2013

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Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Published on: August 10, 2017

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

The Saccharomyces Genome Database (SGD) provides official gene annotations for Saccharomyces cerevisiae.
Advances in RNA profiling enable high-resolution transcript analysis.
Genome browsers are crucial for visualizing complex biological data.

Purpose of the Study:

To integrate published transcript isoform data into the SGD genome browser.
To enhance the visualization and accessibility of S. cerevisiae transcript data.
To support research in transcriptional regulation, gene function, and expression quantification.

Main Methods:

Incorporation of published transcript isoform data.
Utilizing the JBrowse genome visualization platform.
Leveraging manually curated experimental data from SGD.

Main Results:

SGD now displays S. cerevisiae transcript isoform data.
Enhanced visualization of RNA expression and transcript identification.
Improved resource for studying S. cerevisiae biology.

Conclusions:

The integrated transcript data in JBrowse facilitates a clearer understanding of S. cerevisiae.
This resource supports diverse research areas including transcriptional regulation and genome engineering.
SGD's enhanced visualization aids in elucidating gene function and biological processes.