Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

To study the contamination of microorganisms in the food industry, pharmaceutical industry, clinical diagnosis, or bacterial taxonomy, accurate identification of species is a key starting point of ...

Train deep convolutional neural networks to predict regulatory activity along very long chromosome-scale DNA sequences Score variants according to their predicted influence on regulatory activity ...

Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

The NCBI Prokaryotic Genome Annotation Pipeline is designed to annotate bacterial and archaeal genomes (chromosomes and plasmids). Genome annotation is a multi-level process that includes prediction ...

RNA-seq has represented a pivotal breakthrough in transcriptomics. Among the successful factors of this technology, two features have had the highest impact: the capability of measuring the whole ...