Ribo-seq analysis for SLFN14 manuscript
All the environment of the analysis steps were developed as docker images.
preprocessing/
Adapter removal, rRNA mapping, and mRNA mapping of the reads.
All the steps were done in a docker image defined in preprocessing/dockerfile.
A custom reference transcriptome was generated by the code in preprocessing/ref.
riboseq/
Generating count data and making figures.
All the steps were done in a remote container of VScode defined in riboseq/devcontainer
The figures were made by a custom python code under riboseq/.
Saori Uematsu: su64@cornell.edu, saorid6e9p6p9@gmail.com