PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering

Saccharomyces cerevisiae is a widely used biotechnological workhorse in both academic and industrial settings. One reason for its continued popularity is the extensive legacy of genetic tools, developed over its long history of use, that enable precise manipulation of the S. cerevisiae genome. These tools have enabled extensive genetic characterization and dramatic re-programming efforts for applications ranging from fundamental research to industrial chemical production. However, existing software is often designed for automated pipelines and can be cumbersome to integrate into existing laboratories. Here we present a digital toolkit called PYEAST (Python Enabled Automated Strain Transformation) that encodes some of the most widely used methods for working with S. cerevisiae, modernizes them to leverage advances in DNA synthesis, and facilitates digital sequence management.

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Publication Details

Journal
npj Systems Biology and Applications
Published
2026-04-11
DOI
https://doi.org/10.1038/s41540-026-00712-4
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00

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article

PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering

Anjali Purohit, Carol J. Hartley, Damian Van Raad, Ankita Suri et al.
npj Systems Biology and Applications
Microbial Metabolic Engineering and Bioproduction
article

PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering

Anjali Purohit, Carol J. Hartley, Damian Van Raad, Ankita Suri, Thomas D. Loan, Abubakar Madika, Michael Norman
article en

Abstract

Saccharomyces cerevisiae is a widely used biotechnological workhorse in both academic and industrial settings. One reason for its continued popularity is the extensive legacy of genetic tools, developed over its long history of use, that enable precise manipulation of the S. cerevisiae genome. These tools have enabled extensive genetic characterization and dramatic re-programming efforts for applications ranging from fundamental research to industrial chemical production. However, existing software is often designed for automated pipelines and can be cumbersome to integrate into existing laboratories. Here we present a digital toolkit called PYEAST (Python Enabled Automated Strain Transformation) that encodes some of the most widely used methods for working with S. cerevisiae, modernizes them to leverage advances in DNA synthesis, and facilitates digital sequence management.

npj Systems Biology and Applications
Australian National University (AU), Ahmadu Bello University (NG), Commonwealth Scientific and Industrial Research Organisation (AU), Australian Nuclear Science and Technology Organisation (AU), Agriculture and Food (AU)
DeepMind, Commonwealth Scientific and Industrial Research Organisation, Queensland University of Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Microbial Metabolic Engineering and Bioproduction
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PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering — Anjali Purohit, Carol J. Hartley, et al. · npj Systems Biology and Applications (2026) | TGRS Research Map | TGRS