The START App: R Shiny Transcriptome Analysis Resource Tool

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

Various tutorials on how to analyse transcriptomic data.

This repository contains CWL descriptions of the various tools which will allow you to build workflows for the annotation of transcripts

Mirror of Bioconductor's CAGEr package repository

Targeted reduction of highly abundant transcripts with pseudo-random primers

⏳ Online graphical interface to explore age-related gene expression alterations in 49 GTEx human tissues

Code to reproduce analyses in Iron Responsive Element (IRE)-mediated responses to iron dyshomeostasis in Alzheimer’s disease (Hin et al.)