scTagger – a computational method to match cellular barcodes data from long-reads and short-reads
Single-cell RNA sequencing allows for characterizing the gene expression landscape at the cell type level.…
Browsing: Other Tools
A comprehensive analytical protocol to interrogate multiple single-cell RNA-seq datasets with SingCellaR
Single-cell RNA sequencing has led to unprecedented levels of data complexity. Although several computational platforms…
viRNAtrap – a package to generate predicted viral contigs from unmapped RNA-seq reads
About 15% of human cancer cases are attributed to viral infections. To date, virus expression…
A deep learning model to classify neoplastic state and tissue origin from transcriptomic data
Application of deep learning methods to transcriptomic data has the potential to enhance the accuracy…
WAT3R – Recovery of T Cell Receptor Variable Regions From 3’ Single-Cell RNA-Sequencing
Diversity of the T cell receptor (TCR) repertoire is central to adaptive immunity. The TCR…
RNA-MuTect-WMN – Estimating tumor mutational burden from RNA-sequencing without a matched-normal sample
Detection of somatic mutations using patients sequencing data has many clinical applications, including the identification…
CLIPreg – Constructing translational regulatory networks from CLIP-, Ribo- and RNA-seq
The creation and analysis of gene regulatory networks have been the focus of bioinformatics research…