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scm3c-seq's Introduction

scm3C-seq

This is the code for Lee et al. bioRxiv 2018 https://www.biorxiv.org/content/early/2018/12/26/503235

Requirements:

Python 2.7/3.4+ libhdf5 and Python packages numpy, scipy, pandas, h5py. We highly recommend using the conda package manager to install scientific packages like these. To get it, you can either install the full Anaconda Python distribution or just the standalone conda package manager.

Cooler: Please see https://github.com/mirnylab/cooler for installation and details

hicrep: Please see https://bioconductor.org/packages/release/bioc/html/hicrep.html for installation and details

Visualization: We use Higlass (https://github.com/higlass/higlass) for visualizing contact matrix map

We have made the processed data available through a public box directory located here: https://salkinstitute.box.com/s/fp63a4j36m5k255dhje3zcj5kfuzkyj1

scm3c-seq's People

Contributors

eaststar0 avatar dixonlab avatar zhoujt1994 avatar

Stargazers

Michael S. Cuoco avatar David Lu avatar Kilian Leon Kleemann avatar Selin Jessa avatar Tim Triche, Jr. avatar

Watchers

Tim Triche, Jr. avatar James Cloos avatar  avatar

scm3c-seq's Issues

How to download cell-type identification results by different ways (DNA methylation or chromatin interaction)?

Hi,

Excuse me. I am doing a project about TAD boundaries using scm3C-seq data of brain tissue. I can't search your cell-type identification results. Can you send me clusters and cell-type identification results by different ways (DNA methylation or chromatin interaction) in Fig5(a-c) of your paper "Simultaneous profiling of 3D genome structure and DNA methylation in single human cells". my email is [email protected]

Thanks very much!
Yusen

Cannot reproduce interaction clustering results

Hello,

I have been trying to reproduce the results from Figure 5c in the paper (https://www.nature.com/articles/s41592-019-0547-z/figures/5) using the final few lines in the clustering script and I have been unable to get any sort of positive clustering results using scHiCluster.

I followed the scHiCluster preprocessing steps as outlined in their repo: https://github.com/zhoujt1994/scHiCluster

Yet when I try running any of the scHiCluster functions (hicluster_gpu, hicluster_cpu, raw_pca) the embeddings seem practically random:

eval

Could you please clarify the preprocessing steps used before feeding the data into scHiCluster and would you be able to include some of the supplementary files needed to reproduce the results in the paper?

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