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aertslab's Projects

mucistarget icon mucistarget

Predict cis-regulatory mutations in gene regulatory networks

nanowgs icon nanowgs

Nextflow pipeline for Nanopore WGS analysis

nextcloud_share_url_downloader icon nextcloud_share_url_downloader

Download files from and list content of NextCloud (password protected) share directly from the command line without needing a webbrowser.

ngscheckmate icon ngscheckmate

Software program for checking sample matching for NGS data

ngsutils icon ngsutils

Tools for next-generation sequencing analysis

orderstatistics icon orderstatistics

OrderStatistics: Generate global ranking from distinct prioritizations from multiple heterogeneous data sources.

primescore icon primescore

Calculation of regulatory impact score of a mutation.

pumatac icon pumatac

Pipeline for Universal Mapping of ATAC-seq

pycistarget icon pycistarget

pycistarget is a python module to perform motif enrichment analysis in sets of regions with different tools and identify high confidence TF cistromes.

pycistopic icon pycistopic

pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.

pyscenic icon pyscenic

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

rcistarget icon rcistarget

RcisTarget: Transcription factor binding motif enrichment

samtools icon samtools

Tools (written in C using htslib) for manipulating next-generation sequencing data

scanpy icon scanpy

Single-Cell Analysis in Python. Scales to >1M cells.

scenic icon scenic

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

scenic-nf icon scenic-nf

DEPRECATED | pySCENIC pipeline implemented in Nextflow using containers

scenicplus icon scenicplus

SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

scenicprotocol icon scenicprotocol

A scalable SCENIC workflow for single-cell gene regulatory network analysis

scforest icon scforest

scforest: a visual overview of single cell technology

scomap icon scomap

ScoMAP is an R package to spatially integrate single-cell omics data into virtual cells and infer enhancer-to-gene relationships.

scope icon scope

Fast visualization tool for large-scale and high dimensional single-cell data

scopeloompy icon scopeloompy

A Python notebook to create .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, compatible with SCope

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