You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Draft email here - edited in response to Aidan's comments
Subject: qPCR analysis open-source R package
Dear Colleagues,
Do you use quantitative PCR in your work? Would you like to try (and help to improve) an open-source package for qPCR analysis in R? We have written the tidyqpcr R package, which is now in beta-testing. Our goal is to empower scientists to conduct reproducible, flexible, and MIQE best-practice compliant quantitative PCR analysis.
Currently tidyqpcr focuses on relative quantification and quality control, including calculating primer efficiencies, delta Cq/count normalization, and delta delta Cq / fold-change. tidyqpcr has convenience functions to make it easier to design an experiment by putting samples in 96- or 384-well plates and even for 1536-well. All functions are documented and there are "vignettes" explaining how to use them.
We want tidyqpcr to grow to meet your needs, and are looking to add more features. If there's something you'd like, please let us know on the tidyqpcr issues page!
The tidyqpcr github repository, https://github.com/ewallace/tidyqpcr, has a longer description as well as installation instructions. We hope you find it useful! Please feel free to forward this to your local qPCR users.
Write a short email that can be forwarded by eLife open innovation colleagues and others, inviting people to use/test/contribute to tidyqpcr.
Intro needs to be 3 sentences.
Perhaps we can include more details after that.
The text was updated successfully, but these errors were encountered: