Jakub Otwinowski

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We infer a large fitness landscape from high-throughput sequence data
from the E. coli lac promoter region with ~200k sequences. The
sequences are associated with measurements of transcriptional
activity. Utilizing linear regression and L1 regularization (LASSO),
we find the best linear and quadratic approximations to fit the data.
We find the fitness landscape to be largely smooth and additive, with
a small amount of epistasis. Our method also reveals the locations of
binding sites, and their interactions without any prior knowledge and
without any difficult optimization steps.

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Department of Physics, Emory University
Konferenzraum Theoretische Physik
Contact: not specified