aertslab Goto Github PK
Name: aertslab
Type: Organization
Twitter: steinaerts
Location: Leuven, Belgium
Blog: https://aertslab.org
Name: aertslab
Type: Organization
Twitter: steinaerts
Location: Leuven, Belgium
Blog: https://aertslab.org
Predict cis-regulatory mutations in gene regulatory networks
Nextflow pipeline for Nanopore WGS analysis
Download files from and list content of NextCloud (password protected) share directly from the command line without needing a webbrowser.
Software program for checking sample matching for NGS data
Tools for next-generation sequencing analysis
OrderStatistics: Generate global ranking from distinct prioritizations from multiple heterogeneous data sources.
Helper tools for popscle
Calculation of regulatory impact score of a mutation.
Pipeline for Universal Mapping of ATAC-seq
pycistarget is a python module to perform motif enrichment analysis in sets of regions with different tools and identify high confidence TF cistromes.
pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.
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: Transcription factor binding motif enrichment
Database for RcisTarget
Create regulatory regions delineation
Tools (written in C using htslib) for manipulating next-generation sequencing data
Single-Cell Analysis in Python. Scales to >1M cells.
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
DEPRECATED | pySCENIC pipeline implemented in Nextflow using containers
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.
SCENIC+ analyses
A scalable SCENIC workflow for single-cell gene regulatory network analysis
scforest: a visual overview of single cell technology
ScoMAP is an R package to spatially integrate single-cell omics data into virtual cells and infer enhancer-to-gene relationships.
Fast visualization tool for large-scale and high dimensional single-cell data
A Python notebook to create .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, compatible with SCope
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.