Nathan A. Tanner

The paper describes a method for efficiently constructing genes from low-cost oligonucleotide mixtures using Data-optimized Assembly Design and Golden Gate Assembly.

The paper evaluates 18 SARS-CoV-2 LAMP primer sets, identifies highly sensitive ones, and shows that combining primer sets improves sensitivity across multiple targets.

The paper evaluates how SARS-CoV-2 sequence variations affect RT-LAMP amplification, finding minimal impact on speed and no effect on sensitivity, highlighting RT-LAMP's robustness for viral RNA detection.

This study uses rapid diagnostics and metatranscriptomics to analyze SARS-CoV-2 infection, revealing viral evolution, host responses, and drug interactions in NYC samples.