Using Large Datasets to Understand Nanotechnology.

Clicks: 193
ID: 39616
2019
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Abstract
Advances in sequencing technologies have made studying biological processes with genomics, transcriptomics, and proteomics commonplace. As a result, this suite of increasingly integrated techniques is well positioned to study drug delivery, a process that is influenced by many biomolecules working in concert. Omics-based approaches can be used to study the vast nanomaterial chemical space as well as the biological factors that affect the safety, toxicity, and efficacy of nanotechnologies. The generation and analysis of large datasets, methods to interpret them, and dataset applications to nanomaterials to date, are demonstrated here. Finally, new approaches for how sequencing-generated datasets can answer fundamental questions in nanotechnology based drug delivery are proposed.
Reference Key
paunovska2019usingadvanced Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Paunovska, Kalina;Loughrey, David;Sago, Cory D;Langer, Robert;Dahlman, James E;
Journal advanced materials (deerfield beach, fla)
Year 2019
DOI
10.1002/adma.201902798
URL
Keywords Keywords not found

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