RGStraP – direct inference and control of genetic population structure from RNA sequencing data
RNAseq data can be used to infer genetic variants, yet its use for estimating genetic…
Browsing: Other Tools
ORFanage – investigating open reading frames in known and novel transcripts
Researchers at the Johns Hopkins University have developed ORFanage, a system designed to assign open…
LRT – Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity
Single-cell RNA sequencing (scRNA-seq) data has been widely used for cell trajectory inference, with the…
A computational pipeline to identify RNA editing sites of cell types from scRNA-seq data
RNA editing is a post-transcriptional modification with a cell-specific manner and important biological implications. Although…
Modelling capture efficiency of single-cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics
Gene expression is characterised by stochastic bursts of transcription that occur at brief and random…
scSemiAAE – a semi-supervised clustering model for single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) strives to capture cellular diversity with higher resolution than bulk RNA…
RNAincoder – a deep learning-based encoder for RNA and RNA-associated interaction
Ribonucleic acids (RNAs) involve in various physiological/pathological processes by interacting with proteins, compounds, and other…
scSELpy – manual cell selection in single cell transcriptomics for analysis of immune cell subsets
Single cell RNA sequencing plays an increasing and indispensable role in immunological research such as…
GuiltyTargets-COVID-19 – a machine learning method for the identification and characterization of novel COVID-19 drug targets from bulk and scRNA-Seq data
In addition to vaccines, the World Health Organization sees novel medications as an urgent matter…
scSpace – reconstruction of the cell pseudo-space from single-cell RNA sequencing data
Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq…