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Evaluate and Optimize Peptide Vaccine Formulations for SARS-CoV-2

We present a combinatorial machine learning method to evaluate and optimize peptide vaccine formulations for SARS-CoV-2.

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Improve Population Coverage of Pathogen Peptide Display

We introduce an augmentation strategy for subunit vaccines that adds a small number of SARS-CoV-2 peptides to a vaccine to improve the population coverage of pathogen peptide display.

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High-Throughput Interrogation of Gene-Centered Activation Networks

Here we present high-throughput interrogation of gene-centered activation networks (HIGAN), a pipeline that employs a suite of multifaceted genomic approaches to connect upstream signaling inputs, trans-acting TFs, and cis-regulatory elements.

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