Author: Jonathan L Schmid-Burgk; David Li; David Feldman; Mikolaj Slabicki; Jacob Borrajo; Jonathan Strecker; Brian Cleary; Aviv Regev; Feng Zhang
Title: LAMP-Seq: Population-Scale COVID-19 Diagnostics Using a Compressed Barcode Space Document date: 2020_4_8
ID: 68ps3uit_21
Snippet: LAMP-Seq has the potential to enable scalable logistics through early-stage barcoding, while providing a low false-positive rate. Given the urgency of the present need, we hope that sharing this protocol early, even in the absence of clinical validation data, will spur additional development and parallel testing. We welcome collaboration from any interested parties so we can join together and rapidly develop a solution to advance the fight agains.....
Document: LAMP-Seq has the potential to enable scalable logistics through early-stage barcoding, while providing a low false-positive rate. Given the urgency of the present need, we hope that sharing this protocol early, even in the absence of clinical validation data, will spur additional development and parallel testing. We welcome collaboration from any interested parties so we can join together and rapidly develop a solution to advance the fight against the coronavirus pandemic.
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