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dc.contributor.authorSilva, Gerda Cristal Villalbapt_BR
dc.contributor.authorMatte, Ursula da Silveirapt_BR
dc.date.accessioned2024-03-19T05:06:54Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.issn1415-4757pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/273892pt_BR
dc.description.abstractPublic databases are essential to the development of multi-omics resources. The amount of data created by biological technologies needs a systematic and organized form of storage, that can quickly be accessed, and managed. This is the objective of a biological database. Here, we present an overview of human databases with web applications. The databases and tools allow the search of biological sequences, genes and genomes, gene expression patterns, epigenetic variation, protein-protein interactions, variant frequency, regulatory elements, and comparative analysis between human and model organisms. Our goal is to provide an opportunity for exploring large datasets and analyzing the data for users with little or no programming skills. Public user-friendly web-based databases facilitate data mining and the search for information applicable to healthcare professionals. Besides, biological databases are essential to improve biomedical search sensitivity and efficiency and merge multiple datasets needed to share data and build global initiatives for the diagnosis, prognosis, and discovery of new treatments for genetic diseases. To show the databases at work, we present a a case study using ACE2 as example of a gene to be investigated. The analysis and the complete list of databases is available in the following website <https://kur1sutaru.github.io/ fantastic_databases_and_where_to_find_them/>.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofGenetics and molecular biology. Ribeirão Preto. Vol. 44, n. 2 (Abr. 2021), e20200203, 10 p.pt_BR
dc.rightsOpen Accessen
dc.subjectHuman databasesen
dc.subjectBancos de dadospt_BR
dc.subjectFerramentas da Web 2.0pt_BR
dc.subjectBioinformatics toolsen
dc.subjectMineração de dadospt_BR
dc.subjectWeb applicationen
dc.subjectBig dataen
dc.titleFantastic databases and where to find them: Web applications for researchers in a rushpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001161738pt_BR
dc.type.originNacionalpt_BR


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