RISCy Business - Development of a RNAi Design and Off-Target Prediction Software

Explore the development of "si-Fi," a PyQt-based cross-platform software tool for RNA interference (RNAi) design and off-target prediction, in this 25-minute EuroPython Conference talk. Delve into the biological mechanism of RNAi for targeted gene expression inhibition, its application in discovering plant-pathogenic fungi interaction genes, and learn how the software minimizes miss-targeting of unrelated genes while maximizing RNAi efficiency. Gain insights into finding genes, understanding RNAi functionality, addressing inbuilt issues, and identifying off-targets. Examine experiment setups, silencing efficiency results, efficient siRNA selection, strand selection, and target site accessibility calculation. Discover the features of si-Fi through practical examples, demonstrating how hobby programmers can effectively utilize Python for impactful scientific applications.