Deep mutational scanning (DMS) enables multiplexed measurement of the effects of
thousands of variants of proteins, RNAs, and regulatory elements. Here, we present a …

The complexity of heredity has been appreciated for decades: Many traits are controlled not
by a single genetic locus but instead by polymorphisms throughout the genome. The …

Massively parallel, quantitative measurements of biomolecular activity across sequence
space can greatly expand our understanding of RNA sequence-function relationships. We …

Massively parallel phenotyping assays have provided unprecedented insight into how
multiple mutations combine to determine biological function. While such assays can …

Despite the large number of noncoding RNAs in human genome and their roles in many
diseases include cancer, we know very little about them due to lack of structural clues. The …

Whether deleterious mutations affect fitness independently, or synergistically, remains an
open question in evolutionary genetics. Previous work by reported an abundance of …

We study the genotype-phenotype maps of 80 quantitative phenotypes in the model plant
Arabidopsis thaliana, by representing the genotypes affecting each phenotype as a …

RNA-ligand interactions play important roles in biology and biotechnology, but they often
involve complex three-dimensional folding of RNA and are difficult to predict. To …

Any process can be seen as an algorithm; its power and its limits can then be analysed with
the techniques of theoretical computer science. To analyse algorithms, we divide the world …

Deep mutational scanning enables data-driven models of protein structure and function.
Here, we adapted Saturated Programmable Insertion Engineering as an economical and …