-
IBGBI - UniversitΓ© Paris-Saclay
- France
-
19:00
(UTC +02:00) - rayanewithane
- in/rayane-adam
Highlights
- Pro
Lists (4)
Sort Name ascending (A-Z)
Stars
List of Spatial Transcriptomics related Tools organized per category
code for "Continuous Hierarchical Representations with PoincarΓ© Variational Auto-Encoders".
Notebooks to follow along with "Deep Learning for Biology" Chapters 2 to 6.
List of software packages for multi-omics analysis
CM et TD de programmation C pour le Master 2 GENIOMHE
β‘οΈοΈβ‘οΈοΈβ¬ οΈοΈβ‘οΈοΈ Draw gene arrow maps in ggplot2
Probing metabolomic profile of breast cancer combined with protein expression via machine learning approach
multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
An R package containing example data sets for metabolomics analyses
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
π A curated list of software and resources for exploring and visualizing (browsing) expression data π
Python code for the implementation the intuitive method to plot Boolean network attractors landscape
π An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
SenePy is a set of tools to score single-cells based on their expression of cell-specific senescence markers. Please see the following publication By Sanborn MA et al in Nature Communications (2025β¦
Workshops presented by the Gladstone Bioinformatics Core
Mapping DEGs to PPI Networks, Identifying Network Hubs and Highly Connected Proteins, and Simulating Genetic Circuits. An End-to-End DIY Guide
Module for embedding igv.js in an IPython notebook
A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Foundation Models for Genomics & Transcriptomics