Evaluation of studies on molecular biology and genetics related to COVID-19 with data mining

Aim: The aim of this study was to examine the most common studies about molecular biology and genetics related COVID-19. In addition, also determine subject focus COVID-19 during pandemic with data mining.
 Material Method: Review research articles, book chapters, conference abstracts, case reports mini reviews published between March 2020 July 2021 were included in study. We retrieved only articles from discipline. MeSH heading “genetics [GENET]” used including specific fields hierarchy cytogenetics, genomics, human genetics, immunogenetics, biology, pharmacogenetics, phenomics, radiation toxicogenetics, gene ontology, microbial behavioral population genetics.
 Results: A total 6234 evaluated our Of 85966 terms, 5833 met threshold title abstract extraction. showed that betacoronavirus, viral pneumonia, RNA, spike glycoprotein, coronavirus, middle-aged animals repetitive terms. Clinical laboratory techniques, polymerase chain reaction reverse transcriptase techniques main for detection found molecular-based frequently by Journal Medical Virology, Viruses, PLoS One. institutes where investigating conducted are United States (USA), China England. USA first rank countries frequent studies, Turkey 19th place terms studies.
 Conclusion: It is important identify issues mechanisms investigated Scientific approaches founded on evidence-based may be beneficial find curative treatment infection effectively prevent infection.