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 ...
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 ...
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 ...
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