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Bioinformática para Pesquisadores em Ciências da Vida: Ferramentas e Recursos de Aprendizagem

By Competitiveness, Technology and Innovation Division (VPS/PTI/CTI)

The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other critical areas of research. Studies suggest that bioinformatics skills in the Latin American and Caribbean region are relatively incipient, and thus its scientific systems cannot take full advantage of the increasing availability of bioinformatic tools and data. This dataset is a catalog of bioinformatics software for researchers and professionals working in life sciences. It includes more than 300 different tools for varied uses, such as data analysis, visualization, repositories and databases, data storage services, scientific communication, marketplace and collaboration, and lab resource management. Most tools are available as web-based or desktop applications, while others are programming libraries. It also includes 10 suggested entries for other third-party repositories that could be of use.

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Metadata & use

Identificador https://doi.org/10.60966/kwvb-wr19
Licença Creative Commons Atribuição–NãoComercial–SemDerivações 3.0 IGO
Citação

Rodriguez Muxica, Natalia, 2022, Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources, IDB Open Data, https://doi.org/10.60966/kwvb-wr19
Published date 2022-02-11
Modified date 2025-04-10
Idioma English
Cobertura Temporal 2020-2021
País
Argentina
Australia
Belgium
Canada
Chile
China
Denmark
France
Germany
Hong Kong
Hungary
India
Ireland
Israel
Japan
Luxembourg
Norway
Russia
Saudi Arabia
Singapore
South Korea
Spain
Switzerland
Taiwan
The Netherlands
United States
Região América Latina e Caribe
Publicador
Inter-American Development Bank
Autor
Rodriguez Muxica, Natalia
Tipo de Coleta de Dados Dados Observacionais
Tipo Estatístico Cross-sectional Data
Estrutura dos Dados Structured Data

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