Data Visualization

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...

Researchers at MD Anderson Cancer Center have developed OmicPioneer-sc, an open-source data visualization/analysis package that integrates dimensionality-reduction plots (DRPs) such as t-SNE and...

In situ sequencing enables gene activity inside body tissues to be depicted in microscope images. To facilitate interpretation of the vast quantities of information generated, Uppsala University researchers have now developed an entirely new method of...

Unsupervised clustering is a common and exceptionally useful tool for large biological datasets. However, clustering requires upfront algorithm and hyperparameter selection, which can introduce bias into the final clustering labels. It is therefore...

With new technological developments, the number of sequencing applications is continuously expanding, while at the same time sequencing prices are falling. This is resulting in an exponential increase in sequencing data. However, while ‘big data’ brings more...

Many applications of multiple sequence alignments (MSA) involve working with sequences which are not ideal – they can be incomplete, contain errors or just be highly divergent with many mismatches. This is very common when working with high throughput sequencing ...

University of Oxford researchers present VALERIE (Visualising alternative splicing events from single-cell ribonucleic acid-sequencing experiments), an R package for visualising alternative splicing events at single-cell resolution. To explore any given specified genomic region, corresponding to an alternative splicing event, VALERIE ...

Single cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions in order for cells to be clustered ...