科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ npj Systems Biology and Applications2026-04-11· Computer science

PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering

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

原始摘要(英文原文)· Original 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.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering — 科研速览 Science Skim