Metagenomic DNA Sequencing for the Diagnosis of Intraocular InfectionsAmerican Academy of Ophthamology, 2017
Differential disease susceptibility in experimentally reptarenavirus infected boa constrictors and ball pythonsJournal of Virology, 2017
A Herpesviral induction of RAE-1 NKG2D ligand expression occurs through release of HDAC mediated repressioneLIFE, 2016
Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogensGenome Medicine, 2016
Acute West Nile virus meningoencephalitis diagnosed via metagenomic deep sequencing of cerebrospinal fluid in a renal transplant patientAmerican Journal of Transplantation, 2016
Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen ReagentsASM mSystems, 2016
Novel Picornavirus Associated with Avian Keratin Disorder in Alaskan BirdsmBio 2016
We are pleased to introduce MITOMI 2.0, a microfluidic platform, developed in collaboration with the Quake lab at Stanford, and analysis pipeline for high-throughput measurement of transcription factor DNA sequence preferences and interaction affinities. Using a panel of 28 S. cerevisiae transcription factors, including 2 that were previously uncharacterized, we demonstrated the ability to comprehensively identify both high- and low-affinity target sequences and directly measure relative binding affinities. We hope that both the extensive data set presented here (including affinity information for each transcription factor binding to 1457 oligonucleotide sequences) and future use of this technique help elucidate the fundamental mechanisms by which transcription factors regulate gene expression.Click here to go to the raw data download.