Recent trends on omics and bioinformatics approaches to study SARS-CoV-2: A bibliometric analysis and mini-review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85871" target="_blank" >RIV/60460709:41210/21:85871 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.compbiomed.2020.104162" target="_blank" >https://doi.org/10.1016/j.compbiomed.2020.104162</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compbiomed.2020.104162" target="_blank" >10.1016/j.compbiomed.2020.104162</a>
Alternative languages
Result language
angličtina
Original language name
Recent trends on omics and bioinformatics approaches to study SARS-CoV-2: A bibliometric analysis and mini-review
Original language description
The successful sequencing of SARS-CoV-2 cleared the way for the use of omics technologies and integrative biology research for combating the COVID-19 pandemic. Currently, many research groups have slowed down their respective projects to concentrate efforts in the study of the biology of SARS-CoV-2. In this bibliometric analysis and mini-review, we aimed to describe how computational methods or omics approaches were used during the first months of the COVID-19 pandemic. We analyzed bibliometric data from Scopus, BioRxiv, and MedRxiv (dated June 19th, 2020) using quantitative and knowledge mapping approaches. We complemented our analysis with a manual process of carefully reading the selected articles to identify either the omics or bioinformatic tools used and their purpose. From a total of 184 articles, we found that metagenomics and transcriptomics were the main sources of data to perform phylogenetic analysis aimed at corroborating zoonotic transmission, identifying the animal origin and taxonomic
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN
0010-4825
e-ISSN
1879-0534
Volume of the periodical
128
Issue of the periodical within the volume
jan
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
1-8
UT code for WoS article
000604568300001
EID of the result in the Scopus database
2-s2.0-85097343510