R/shiny interface for interactive visualization of data in SummarizedExperiment objects
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Updated
Jun 1, 2024 - R
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics
Snakemake pipeline for use in computing cluster to pull RNA-seq fastq reads from GEO, trim, run quality checks and align. Output interfaces with MADRID
National Microbiome Data Collaborative (NMDC) unified data model
Hierarchical, iterative clustering for analysis of transcriptomics data in R
Metabolic state prediction at single-cell resolution is a project developed as a Bachelor's Thesis (TFG), to recover metabolic states from single-cell expression data.
Single-cell analysis in Python. Scales to >1M cells.
Annotated data.
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Bioinformatics pipeline that makes use of expression and open chromatin data to identify differentially active transcription factors across conditions.
Python package to perform enrichment analysis from omics data.
Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.
An ontology of cell types
Repository for course project in Bioinformatics Institute 2023-2024
Nara Marella
A Snakemake pipeline developed to quantify isoforms expression levels in large RNA-seq datasets and find poly-A sites
A Snakemake pipeline developed to quantify isoforms expression levels in large RNA-seq datasets and find poly-A sites
Cell-type Relationship Analysis Workflow Done Across Distances
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