Publications

Identifying composition rules for transcription factor circuits that control macrophage signal response with deep learning

Published in International Workshop on Bio-Design Automation, 2018

This paper describes the application of a convolutional nerual network with an attention mechanism that can identify regulatory circuits in the genome with state-of-the-art performance. The attention mechanism of the neural network can also reveal the architecture of regulatory circuits within the genome

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Interactive assembly algorithms for molecular cloning

Published in BioRxiv, 2018

This paper describes the application of a logistic regression model that uses a feature set, which is programmatically curated to reduce multiple collinearity, to identify combinations of sequence features targeted by transcription factors within the AP-1 transcription factor family.

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Interactive assembly algorithms for molecular cloning

Published in Proceedings of the National Academy of Sciences, 2018

This paper describes novel cell-specific differences in LXR responses to natural and synthetic ligands in macrophages and liver cells that provide a conceptually new basis for future drug development.

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SREBP1 Contributes to Resolution of Pro- inflammatory TLR4 Signaling by Reprogramming Fatty Acid Metabolism

Published in Cell Metabolism, 2017

In this paper, the authors identify a biphasic macrophage gene expression program underlying anti-inflammatory fatty acid production following TLR4 activation. The late anti-inflammatory program is dependent on SREBP1. This is surprising given the known roles of SREBP1 in promoting IL1B production during the induction of inflammation and highlights its dual roles.

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Owl: Electronic Datasheet Generator

Published in ACS Synthetic Biology, 2014

This paper describes RavenCAD, a dynamic programing algorithm for planing DNA synthesis protocols that is accessible as a web application.

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