Data analysis scripts for Rendeiro et. al, 2016 (doi:10.1038/ncomms11938)
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Updated
Nov 10, 2017 - Python
Data analysis scripts for Rendeiro et. al, 2016 (doi:10.1038/ncomms11938)
cisVar scripts.
A Python package for fast operations on 1-dimensional genomic signal tracks
MEGA ATAC-seq Workflow implementation
The ChIP-Seq peak calling algorithm using convolution neural networks
Coupled clustering of single cell genomic data
Preprocessing pipeline for (sc)ATAC data
Visualize scATAC-seq profiles using PCA and UMAP. Construct a support vector classifier (SVC) to predict cell type given ATAC-seq expression profile.
Sargasso disambiguates mixed-species high-throughput sequencing data.
ATAC-seq and DNase-seq processing pipeline
Pipelines for NGS data preprocessing by the Bock lab and friends
Pipeline for predicting ChIP-seq peaks in novel cell types using chromatin accessibility
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