EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
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Updated
Mar 28, 2024 - R
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
integrated RNA-seq Analysis Pipeline
Workflow management with Nextflow and nf-core
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
a fully Bayesian approach to deconvolve tumor microenvironment
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
🌺 reference-free transcriptome assembly for short and long reads
a web-based R shiny application that wraps DESeq2 R package
The gEAR Portal was created as a data archive and viewer for gene expression data including microarrays, bulk RNA-Seq, single-cell RNA-Seq and more.
"Applied bioinformatics" is a course for Genetics Master Program at Genetics Department
Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper
single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
This workflow performs a metatranscriptomics and bulk RNAseq analysis from the sequencing output data to the differential expression analyses.
A script used to calculate percent spliced-in (PSI) values from bulk RNA sequencing data.
Trajectory Inference of clinical data via Multi-commodity Flow
This workflow performs an RNA-seq analysis from the sequencing output data to the differential expression analyses.
bulk RNA-seq of miRNA and mRNA profiling of human acute and chronic wounds
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