ManchesterBioinference/Scasat ManchesterBioinference/Scasat

  • Stars
    star
    35
  • Rank 749,672 (Top 15 %)
  • Language
    Jupyter Notebook
  • Created almost 7 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ManchesterBioinference/Scasat
github

ManchesterBioinference

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Scasat is a single cell ATAC-seq preprocessing and analysis pipeline

More Repositories

1

BranchedGP

Branching Gaussian process
Jupyter Notebook
28
star
2

IntegratingATAC-RNA-HiC

scripts for the integrating ATAC-seq, RNA-seq and CHi-C paper
Jupyter Notebook
21
star
3

GPcounts

Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
Jupyter Notebook
20
star
4

GrandPrix

GrandPrix
Jupyter Notebook
16
star
5

DEtime

R package for two-sample time series analysis using Gaussian process methods
HTML
9
star
6

burstInfer

Using a dynamic memory-adjusted Hidden Markov Model to infer global and single-cell transcriptional parameters
Python
5
star
7

EP_Bayes

Bayesian inference of enhancer-promoter links
Python
2
star
8

GPosc

Jupyter Notebook
1
star
9

GP_Transcription_Dynamics

Python
1
star
10

cjBitSeq_benchmarking

benchmarking experiments for cjBitSeq
R
1
star