aertslab's repositories
SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
SCopeLoomR
R package (compatible with SCope) to create generic .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, ...
install_aspera_connect
Install latest version of Aspera Connect and show example how to use it for downloading sequening data.
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)
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.
iterative_peak_filtering
Iterative peak filtering.
primescore
Calculation of regulatory impact score of a mutation.
mucistarget
Predict cis-regulatory mutations in gene regulatory networks
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
DGRP2_dm3_to_dm6
Create BCF/VCF files with all DGRP2 mutations for Drosophila melanogaster (dm6) from dm3 VCF files.
Melanoma_MPRA_paper
Melanoma MPRA paper
regulatory_regions_delineation
Create regulatory regions delineation
AS_variant_pipeline
Allele specific variant pipeline
grpc-bus-websocket-proxy-client
Connect to any GRPC service from a browser via a WebSocket Proxy Server
loompy
Python implementation of the Loom file format - http://loompy.org
NGSCheckMate
Software program for checking sample matching for NGS data
orderstatistics
OrderStatistics: Generate global ranking from distinct prioritizations from multiple heterogeneous data sources.
samtools
Tools (written in C using htslib) for manipulating next-generation sequencing data
scanpy
Single-Cell Analysis in Python. Scales to >1M cells.