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Probabilistic Models in Biology's Projects

bicycle icon bicycle

Bicycle: Intervention-Based Causal Discovery with Cycles

bonito icon bonito

A PyTorch Basecaller for Oxford Nanopore Reads

deepcpg icon deepcpg

Deep neural networks for predicting CpG methylation

limix icon limix

We have moved to https://github.com/limix/limix.

mb-nanopore-2022 icon mb-nanopore-2022

Analysis code for publication "Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signature"

mb_scseq icon mb_scseq

This repo contains scripts for the analysis of scDNA- and scSeq data from LFS medulloblastoma accompanying the manuscript "SINGLE CELL MULTI-OMICS ANALYSIS OF CHROMOTHRIPTIC MEDULLOBLASTOMA HIGHLIGHTS GENOMIC AND TRANSCRIPTOMIC CONSEQUENCES OF GENOME INSTABILITY".

meth5format icon meth5format

HDF5-based container format for Methylation calls from long reads

mtset icon mtset

mtSet is an implementation of efficient set test algorithms for joint analysis across multiple traits. mtSet can account for confounding factors such as relatedness and can be used for analysis of single traits.

muon.r icon muon.r

R ⇄ .h5mu I/O for multimodal data

peer icon peer

A factor analysis package

pycometh icon pycometh

DNA methylation analysis downstream to Nanopolish for Oxford Nanopore DNA sequencing datasets

pygp icon pygp

A Gaussian process toolbox in python

remora icon remora

Methylation/modified base calling separated from basecalling.

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