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aertslab's Projects

arboreto icon arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

aucell icon aucell

AUCell: score single cells with gene regulatory networks

bcftools icon bcftools

This is the official development repository for BCFtools. To compile, the develop branch of htslib is needed: git clone --branch=develop git://github.com/samtools/htslib.git htslib

biopython icon biopython

Official git repository for Biopython (converted from CVS)

bravo_et_al_eyeantennaldisc icon bravo_et_al_eyeantennaldisc

Code for reproducing the figures presented in the manuscript 'Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics' (Bravo et al., 2020)

cistopic icon cistopic

cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data

ctxcore icon ctxcore

Core functions for pycisTarget and the SCENIC tool suite

deepbrain icon deepbrain

DeepBrain: a collection of vertebrate sequence-based enhancer models aimed at understanding brain cell type enhancer code across and within species

dgrp2_dm3_to_dm6 icon dgrp2_dm3_to_dm6

Create BCF/VCF files with all DGRP2 mutations for Drosophila melanogaster (dm6) from dm3 VCF files.

genie3 icon genie3

GENIE3 (GEne Network Inference with Ensemble of trees) R-package

grnboost icon grnboost

Scalable inference of gene regulatory networks using Apache Spark and XGBoost

grpc-bus icon grpc-bus

Call GRPC services (even streams!) from the browser over any two-way socket to Node and soon Go.

htslib icon htslib

C library for high-throughput sequencing data formats

inclusive icon inclusive

motif finding library and application that can be used to search for potential transcription factors.

install_aspera_connect icon install_aspera_connect

Install latest version of Aspera Connect and show example how to use it for downloading sequening data.

iregulon icon iregulon

A regulon consists of a transcription factor (TF) and its direct transcriptional targets, which contain common TF binding sites in their cis-regulatory control elements. The iRegulon plugin allows you to identify regulons using motif and track discovery in an existing network or in a set of co-regulated genes.

loompy icon loompy

Python implementation of the Loom file format - http://loompy.org

loomxpy icon loomxpy

Python package (compatible with SCope) to create .loom files and extend them with other data e.g.: SCENIC regulons

macs icon macs

MACS -- Model-based Analysis of ChIP-Seq

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