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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...

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Related Experiment Video

Updated: Jun 7, 2026

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

RAPYD--rapid annotation platform for yeast data.

Jessica Schneider1, Jochen Blom, Sebastian Jaenicke

  • 1Computational Genomics, Institute for Bioinformatics, Center for Biotechnology, Bielefeld University, Bielefeld, Germany. jschneid@cebitec.uni-bielefeld.de

Journal of Biotechnology
|November 3, 2010
PubMed
Summary
This summary is machine-generated.

Researchers developed RAPYD, a bioinformatics platform for yeast genomics, to analyze vast amounts of yeast sequence data. This tool aids in genome annotation, comparative genomics, and metabolic pathway reconstruction for biotechnologically important fungi.

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Last Updated: Jun 7, 2026

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Area of Science:

  • * Genomics
  • * Bioinformatics
  • * Mycology

Background:

  • * Yeast genomics is crucial for understanding biotechnologically important fungi.
  • * Rapid advancements in sequencing technologies generate large volumes of yeast genome data.
  • * Efficient bioinformatics tools are needed for comprehensive yeast genome analysis.

Purpose of the Study:

  • * To present RAPYD, a bioinformatics platform designed for extensive yeast sequence data analysis.
  • * To provide tools for genome assembly, gene prediction, annotation, comparative genomics, and metabolic pathway reconstruction.
  • * To facilitate the exploration of shared and divergent features in closely related yeast strains.

Main Methods:

  • * Implementation of a region prediction pipeline for high-quality coding sequence and genome feature prediction.
  • * Utilization of a configurable pipeline for automatic functional annotation of coding sequences.
  • * Development of modules for metabolic pathway reconstruction and comparative genomics analysis.
  • * Creation of a user-friendly web interface for platform accessibility.

Main Results:

  • * RAPYD offers comprehensive regional and functional annotation of yeast genomes.
  • * The platform enables rapid metabolic pathway reconstruction and organism-specific blueprint generation.
  • * Comparative genomics module allows exploration of genetic similarities and differences among yeast strains.
  • * Successful application demonstrated on the yeast Meyerozyma guilliermondii.

Conclusions:

  • * RAPYD addresses the need for an efficient bioinformatics platform for yeast genomics.
  • * The platform supports a wide range of analyses from annotation to comparative studies.
  • * RAPYD enhances the study of yeast genomes, aiding biotechnological research and discovery.