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<p><i>Saccharomyces cerevisiae</i> 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 <i>S. cerevisiae</i> 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 (<Emphasis Type="Underline">Py</Emphasis>thon <Emphasis Type="Underline">E</Emphasis>nabled <Emphasis Type="Underline">A</Emphasis>utomated <Emphasis Type="Underline">S</Emphasis>train <Emphasis Type="Underline">T</Emphasis>ransformation) that encodes some of the most widely used methods for working with <i>S. cerevisiae</i>, modernizes them to leverage advances in DNA synthesis, and facilitates digital sequence management.</p><p></p>

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PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月11日

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

摘要

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.