Data Analysis

Tumor heterogeneity—the complex microenvironment of different cell subpopulations within a single tumor—remains a major challenge...

Functional circuits consist of neurons with diverse axonal projections and gene expression. Understanding the molecular signature of...

BigOmics Analytics has launched the web-based version of the Omics Playground, an extremely user-friendly platform that allows non-coders to analyse RNA-Seq, scRNA-seq, microarray and proteomics data types. Through it users can perform basic analysis, including sample clustering, pairwise...

Though transcriptomics technologies evolve rapidly in the past decades, integrative analysis of mixed data between microarray and RNA-seq remains...

Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With...

Arizona State University biomedical engineering researchers developed a new cell classifier tool that takes a higher-resolution look at the life cycle of neuroepithelial stem cells, which led to the...

Elucidation of cell subpopulations at high resolution is a key and challenging goal of single-cell ribonucleic acid (RNA) sequencing (scRNA-seq)...

In order to correctly decode phenotypic information from RNA-sequencing (RNA-seq) data, careful selection of the RNA-seq quantification measure is critical for inter-sample comparisons and for...

Efficient integration of heterogeneous and increasingly large single-cell RNA sequencing data poses a major challenge for analysis and, in...

Together with Baylor College of Medicine and the world’s leading sequencing company, Illumina, researchers at Ghent University have built one of...