Rationally Designed Pooled CRISPRi-Seq Uncovers an Inhibitor of Bacterial Peptidyl-tRNA Hydrolase
Description
Raw read counts and source dataset associated with the manuscript on "Rationally Designed Pooled CRISPRi-Seq Uncovers an Inhibitor of Bacterial Peptidyl-tRNA Hydrolase". All the source codes are available here: https://github.com/zisanurrahman/CRISPRi_EGML_Main
Files
Steps to reproduce
Sequencing data were processed with 2FAST2Q. All graphs, except for the clustering images in Fig. 3C-D, were created and generated using R (version 4.3.0). For the clustering graphs, analyses were performed using ‘sklearn.manifold’ and ‘sklearn.cluster’ packages in Python in an anaconda environment. The plots were visualized with ‘matplotlib.pyplot’ in Python. All correlations were calculated using the Pearson method unless otherwise noted. Schematics were created with Biorender web tool (https://www.biorender.com/). The band intensity of the cleaved and uncleaved peptidyl-tRNA was measured using ImageJ. Chemical structures in Supplementary Fig. 11 were created with ChemDraw. Panels in the figures are compiled with Affinity publisher 2.