Methods

RNA-Sequencing is the current method of choice for studying bacterial transcriptomes. To date, many computational pipelines have been developed to predict differentially expressed genes from RNA-Seq...

Many proteins regulate the expression of genes by binding to specific regions encoded in the genome. Here researchers from the University of California San Diego introduce a new data set of RNA elements in the human genome that are recognized by RNA...

Obtaining data from single-cell transcriptomic sequencing allows for the investigation of cell-specific gene expression patterns, which could not be addressed a few years ago. With the advancement of droplet-based protocols the number of studied...

Massively parallel single-cell and single-nucleus RNA sequencing has opened the way to systematic tissue atlases in health and disease, but as the scale of...

The composition and density of immune cells in the tumor microenvironment (TME) profoundly influence tumor progression and success of anti-cancer therapies. Flow cytometry, immunohistochemistry staining or single-cell sequencing are often unavailable such that we rely on computational methods to estimate ...

Researchers with an interest in unraveling gene regulation in human health and disease are expanding their horizons by closely looking at alternative polyadenylation (APA), an under-charted...

Researchers at the German Center for Neurodegenerative Diseases have developed Scaden, a deep neural network for cell deconvolution that uses gene expression information to infer the cellular composition of tissues. Scaden is trained on single-cell RNA sequencing (RNA-seq) data to ...

Recent advancements in in situ gene expression technologies constitute a new and rapidly evolving field of transcriptomics. With the recent launch of...

"Hidden" associations between the human virome and human health and diseaseHuman-resident microbes can influence both health and disease. Investigating the microbiome using next-generation sequencing(*1) technology has revealed examples...

In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have...