About: Spectroscopy with computational analysis in virological studies: A decade (2006

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Spectroscopy with computational analysis in virological studies: A decade (2006–2016)
Creator	Araujo, M Elio, Jos Lima, M Morais, Camilo Nascimento, Yasmin Santos, Marfran
source	Elsevier; Medline; PMC
abstract	This review presents a retrospective of the studies carried out in the last 10 years (2006–2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses.
has issue date	2017-09-21(xsd:dateTime)
bibo:doi	10.1016/j.trac.2017.09.015
bibo:pmid	32287542
has license	no-cc
sha1sum (hex)	b3f5ab864b4d7da1cd85449677a2f7b499edce01
schema:url	https://doi.org/10.1016/j.trac.2017.09.015
resource representing a document's title	Spectroscopy with computational analysis in virological studies: A decade (2006–2016)
has PubMed Central identifier	PMC7112788
has PubMed identifier	32287542
schema:publication	Trends Analyt Chem
resource representing a document's body	covid:b3f5ab864b4d7da1cd85449677a2f7b499edce01#body_text
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