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Genomic exploration of the hemiascomycetous yeasts: 2. Data generation and processing
F Artiguenave1, P Wincker, P Brottier
1GENOSCOPE, Centre National de Séquençage, 2 rue Gaston Crémieux, P.O. Box 91, Cedex, F-Evry, France. artigue@genoscope.cns.fr
FEBS Letters
|January 12, 2001
Summary
This study details sequencing methods for hemiascomycetous yeast, focusing on infra-red labelled primers and automated DNA sequencing. The process ensures high-quality sequence data for the yeast random sequence tag project.
Area of Science:
- Genomics
- Molecular Biology
- Yeast Genetics
Background:
- The Hemiascomycetous yeast group is crucial for biological research.
- Efficient generation of high-quality sequencing data is essential for genomic projects.
- Standardized protocols are needed for reproducible sequence generation.
Purpose of the Study:
- To describe the established procedures for generating sequencing data for the hemiascomycetous yeast random sequence tag project.
- To outline the methods for DNA sequencing reactions and automated analysis.
- To present computational tools for ensuring sequence quality and length estimation.
Main Methods:
- Sequencing reactions using infra-red labelled primers on both ends of plasmid inserts.
- Analysis of sequencing data on automated DNA sequencers.
- Utilizing a package of computer programs for error detection, quality selection, and length estimation.
Main Results:
- Successful generation of sequencing data for the hemiascomycetous yeast random sequence tag project.
- Established protocols ensure efficient and reliable DNA sequencing.
- Computer programs effectively identify and select high-quality sequences.
Conclusions:
- The described GENOSCOPE procedures provide a robust framework for sequencing hemiascomycetous yeast.
- The methodology ensures the generation of reliable and useful sequence data for genomic studies.
- This approach facilitates advancements in understanding yeast genomics.