To facilitate scalable profiling of single cells, we developed split-pool ligation-based transcriptome
sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that labels the …

The human neonatal cerebellum is one-fourth of its adult size yet contains the blueprint
required to integrate environmental cues with developing motor, cognitive and emotional skills …

Most human transcripts are alternatively spliced, and many disease-causing mutations affect
RNA splicing. Toward better modeling the sequence determinants of alternative splicing, …

INTRODUCTION Bacteria heterogeneously activate gene expression programs in response
to environmental changes, stress, and other stimuli. Such behavior may serve as a bet-…

Our ability to predict protein expression from DNA sequence alone remains poor, reflecting
our limited understanding of cis-regulatory grammar and hampering the design of …

Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells.
Here, we use deep learning to predict APA from DNA sequence alone. We trained our …

Engineering gene and protein sequences with defined functional properties is a major goal
of synthetic biology. Deep neural network models, together with gradient ascent-style …

Cerebellar malformations are diverse congenital anomalies frequently associated with
developmental disability. Although genetic and prenatal non-genetic causes have been described…

We performed a comprehensive analysis of the transcriptional changes occurring during
human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using single cell …

Achieving precise control of mammalian transgene expression has remained a long-standing,
and increasingly urgent, challenge in biomedical science. Despite much work, single-cell …