tjh48 Goto Github PK

bayseq

This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.

clusterseq

Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.

dcgan

Another introduction to GANs in Keras

infogan

keras_generators

Example of a data generator in Keras

riboseqr

Plotting functions, frameshift detection and parsing of sequencing data from ribosome profiling experiments.

segmentseq

This package creates segmentation of the genome into regions of biological significance from high-throughput sequencing data.

yama

Yet Another Methylome Aligner