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Metagenomic Next Generation Sequencing (mNGS) promises to revolutionize infectious disease diagnostics. However, the analytical performance of this technology
Balancing the growth of the bioeconomy with the inherent risks associated with the potential misuse of artificial intelligence (AI) related to nucleic acid
NIST develops cancer measurements by working with our stakeholders to deliver improved measurement methods, data, test materials, interlaboratory testing
Part of the Genome in a Bottle Consortium hosted by NIST dedicated to authoritative characterization of benchmark cancer genomes. Complements NIST's current DNA
Consortium hosted by NIST dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email lists
NIST is developing microbial measurements to better understand the propagation of antimicrobial resistance (AMR) through a variety of mechanisms. This work
Increasingly, high stakes decisions impacting public health and safety are being made using microbial genomic sequencing data. For example, whole genome
Genome editing technology has revolutionized the ability to make targeted changes to an animal’s genome ( intentional genomic alterations or IGAs ), offering
The National Institute of Standards and Technology Genome Editing Consortium addresses the measurements and standards needed to increase confidence and lower
Genome Editing technologies have transformed the potential of biosciences and biotechnology, by providing precision engineering tools that enable modifications
The NIST Rapid Microbial Testing Methods (RMTM) Consortium addresses the need for measurements and standards, including reference materials, to increase
NIST and FDA are co-developing DNA-based materials for mixed microbial detection. Our annual workshop brings together private and public interests to discuss
RNA is an increasingly attractive molecule for engineering biology, in part due to the sequence-programmable nature of RNA:RNA interactions. The Cellular
A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial