Fantastic databases and where to find them: Web applications for researchers in a rush
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | |
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/>. |
id |
UFRGS-2_b21bded5a6f22acd2d207ebe8c02603b |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/273892 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
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 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2024-03-19T05:06:54Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/273892 |
dc.identifier.issn.pt_BR.fl_str_mv |
1415-4757 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001161738 |
identifier_str_mv |
1415-4757 001161738 |
url |
http://hdl.handle.net/10183/273892 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Genetics and molecular biology. Ribeirão Preto. Vol. 44, n. 2 (Abr. 2021), e20200203, 10 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/273892/2/001161738.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/273892/1/001161738.pdf |
bitstream.checksum.fl_str_mv |
8203b01d062f98a0f52d03aa9b6b9ee8 40e5c971b29f495cb11ce7d6565ae4b5 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1815447857219502080 |