Data for "Highly-Automated, High-Throughput Replication of Yeast-based Logic Circuit Design Assessments"
Year: 2022
Type: dataset
Abstract: Flow Cytometry and plate reader data from "High Throughput Experimentation to replicate Yeast Gates Experiment," accompanied with jupyter noteboooks to replicate the analyses. Sequencing data is available separately. Files named flow_cytometryax should be concatenated: they are individual slices of a gzipped tar file. Concatenate them and then extract with tar xzf filename. The paper is available on Biorxiv. The Jupyter notebooks used to analyze this data for the paper are available on GitHub.
Authors: Goldman, Robert P., Moseley, Robert, Roehner, Nicholas, Cummins, Bree, Vrana, Justin D., Clowers, Katie J., Bryce, Daniel, Beal, Jacob, DeHaven, Matthew, Nowak, Joshua, Higa, Trissha, Mosqueda, Lorraine, Biggers, Vanessa, Lee, Peter, Hunt, Jeremy P., Haase, Steven B., Weston, Mark, Zheng, George, Deckard, Anastasia, Gopaulakrishnan, Shweta, Stubbs, Joseph F., Gaffney, Niall I, Vaughn, Matthew W, Maheshri, Narendra, Michalev, Ekatarina, Bartley, Bryan, Markeloff, Richard, Mitchell, Tom, Nguyen, Tramy, Sumorok, Daniel, Walczak, Nicholas, Myers, Chris, Zundel, Zach, Scholz, James, Hatch, Benjamin, Colonna-Romano, John
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4393489914