Data Visualization

The ability to discover new cell populations by unsupervised clustering of single-cell transcriptomics data has revolutionized biology. However, all unsupervised methods have adjustable parameters, which renders it difficult for researchers to decide on the right resolution for clustering. Often it ...

Trips-Viz is an interactive platform for the analysis and visualization of ribosome profiling (Ribo-Seq) and shotgun RNA sequencing (RNA-seq) data...

Clustering is a critical step in single cell-based studies. Most existing methods support unsupervised clustering without the a priori exploitation of any domain knowledge. When confronted by the high dimensionality and pervasive dropout events...

Researchers from Georgia Tech have developed a new graphical tool for RNA secondary structure analysis. The central feature is the ability to visually compare/contrast up to three base pairing...

A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level...

IsomiRs are miRNA variants that vary in length and/or sequence when compared to their canonical forms. These variants display differences in length and/or sequence, including additions or deletions of...

The Rust Expression Browser – developed by John Innes Centre researchers – is the first gene expression browser to enable simultaneous...

Chinese hamster ovary (CHO) cell lines are widely used in industry for biological drug production. During cell culture development, considerable effort is invested to understand the factors that greatly...

A universal, user friendly, single-cell and bulk RNA sequencing visualization toolkit that allows highly customizable creation of color blindness friendly, publication-quality figures. dittoSeq accepts both...

Cancer immunotherapy targeting co-inhibitory pathways by checkpoint blockade shows remarkable efficacy in a variety of cancer types. However, only a minority of patients respond to treatment due to the stochastic heterogeneity of tumor microenvironment...