Fantastic databases and where to find them: Web applications for researchers in a rush

Detalhes bibliográficos
Autor(a) principal: Silva, Gerda Cristal Villalba
Data de Publicação: 2021
Outros Autores: Matte, Ursula da Silveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/273892
Resumo: Public 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/>.
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spelling Silva, Gerda Cristal VillalbaMatte, Ursula da Silveira2024-03-19T05:06:54Z20211415-4757http://hdl.handle.net/10183/273892001161738Public 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/>.application/pdfengGenetics and molecular biology. Ribeirão Preto. Vol. 44, n. 2 (Abr. 2021), e20200203, 10 p.Bancos de dadosFerramentas da Web 2.0Mineração de dadosHuman databasesBioinformatics toolsWeb applicationBig dataFantastic databases and where to find them: Web applications for researchers in a rushinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001161738.pdf.txt001161738.pdf.txtExtracted Texttext/plain35572http://www.lume.ufrgs.br/bitstream/10183/273892/2/001161738.pdf.txt8203b01d062f98a0f52d03aa9b6b9ee8MD52ORIGINAL001161738.pdfTexto completo (inglês)application/pdf1710848http://www.lume.ufrgs.br/bitstream/10183/273892/1/001161738.pdf40e5c971b29f495cb11ce7d6565ae4b5MD5110183/2738922024-03-20 04:51:44.962536oai:www.lume.ufrgs.br:10183/273892Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-03-20T07:51:44Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Fantastic databases and where to find them: Web applications for researchers in a rush
title Fantastic databases and where to find them: Web applications for researchers in a rush
spellingShingle Fantastic databases and where to find them: Web applications for researchers in a rush
Silva, Gerda Cristal Villalba
Bancos de dados
Ferramentas da Web 2.0
Mineração de dados
Human databases
Bioinformatics tools
Web application
Big data
title_short Fantastic databases and where to find them: Web applications for researchers in a rush
title_full Fantastic databases and where to find them: Web applications for researchers in a rush
title_fullStr Fantastic databases and where to find them: Web applications for researchers in a rush
title_full_unstemmed Fantastic databases and where to find them: Web applications for researchers in a rush
title_sort Fantastic databases and where to find them: Web applications for researchers in a rush
author Silva, Gerda Cristal Villalba
author_facet Silva, Gerda Cristal Villalba
Matte, Ursula da Silveira
author_role author
author2 Matte, Ursula da Silveira
author2_role author
dc.contributor.author.fl_str_mv Silva, Gerda Cristal Villalba
Matte, Ursula da Silveira
dc.subject.por.fl_str_mv Bancos de dados
Ferramentas da Web 2.0
Mineração de dados
topic Bancos de dados
Ferramentas da Web 2.0
Mineração de dados
Human databases
Bioinformatics tools
Web application
Big data
dc.subject.eng.fl_str_mv Human databases
Bioinformatics tools
Web application
Big data
description Public 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/>.
publishDate 2021
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dc.relation.ispartof.pt_BR.fl_str_mv Genetics and molecular biology. Ribeirão Preto. Vol. 44, n. 2 (Abr. 2021), e20200203, 10 p.
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