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Bioinformatique pour les Chercheurs en Sciences de la Vie : Outils et Ressources d’Apprentissage

Par 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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Métadonnées et utilisation

Identifiant https://doi.org/10.60966/kwvb-wr19
Licence Creative Commons Attribution – Pas d’Utilisation Commerciale – Pas de Modification 3.0 IGO
Citation

Rodriguez Muxica, Natalia, 2022, Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources, IDB Open Data, https://doi.org/10.60966/kwvb-wr19
Date de publication 2022-02-11
Modified date 2025-04-10
Langue English
Couverture Temporelle 2020-2021
Pays
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
Région Amérique Latine et Caraïbes
Éditeur
Inter-American Development Bank
Auteur
Rodriguez Muxica, Natalia
Type de Collecte de Données Donnée d'observation
Type Statistique Données Transversales
Structure des Données Structured Data

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