
ActiveSVM – single-cell mRNA-seq data analysis with a minimal number of genes
Sequencing costs currently prohibit the application of single-cell mRNA-seq to many biological and clinical analyses.…
Sequencing costs currently prohibit the application of single-cell mRNA-seq to many biological and clinical analyses.…
Researchers at the Liverpool School of Tropical Medicine have developed a reproducible and scalable Snakemake…
Diversity of the T cell receptor (TCR) repertoire is central to adaptive immunity. The TCR…
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful technique to decipher tissue composition at…
Detection of somatic mutations using patients sequencing data has many clinical applications, including the identification…
The creation and analysis of gene regulatory networks have been the focus of bioinformatics research…
The rate of raw sequence production through Next-Generation Sequencing (NGS) has been growing exponentially due…
Single-cell RNA-sequencing (scRNA-seq) is being used extensively to measure the mRNA expression of individual cells…
Researchers from the University of Auckland have developed ICARUS, a web server to enable users…
There is a strong need to eliminate batch-specific differences when integrating single-cell RNA-sequencing (scRNA-seq) datasets…