Python package for applying deep learning to predict expression potential ('high' or 'low') directly from protein coding sequences (CDS).

Tool for deep mutational scanning experiments.

Draw RNA secondary structures in python.

High-throughput Annotation of Modified Ribonucleotides -- HAMR

Data science interview questions and answers

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Lab materials for the Full Stack Deep Learning Course

Selenoprofiles is a pipeline for profile-based protein finding in genomes. It is suitable also (but not only) for selenoproteins

DE analysis module for Week3

An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

projects using galaxy, python, linux command line to analyze sequencing data

Stanford