The eBioKit, a stand-alone educational platform for bioinformatics
Bioinformatics skills have become essential for many research areas; however, the availability of qualified researchers is usually lower than the demand and training to increase the number of able bioinformaticians is an important task for the bioinformatics community. When conducting training or ha...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/129437 |
| _version_ | 1855519180639436800 |
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| author | Hernández-de-Diego, Rafael Villiers, Etienne P. de Klingström, Tomas Gourlé, Hadrien Conesa, Ana Bongcam-Rudloff, Erik |
| author_browse | Bongcam-Rudloff, Erik Conesa, Ana Gourlé, Hadrien Hernández-de-Diego, Rafael Klingström, Tomas Villiers, Etienne P. de |
| author_facet | Hernández-de-Diego, Rafael Villiers, Etienne P. de Klingström, Tomas Gourlé, Hadrien Conesa, Ana Bongcam-Rudloff, Erik |
| author_sort | Hernández-de-Diego, Rafael |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Bioinformatics skills have become essential for many research areas; however, the availability of qualified researchers is usually lower than the demand and training to increase the number of able bioinformaticians is an important task for the bioinformatics community. When conducting training or hands-on tutorials, the lack of control over the analysis tools and repositories often results in undesirable situations during training, as unavailable online tools or version conflicts may delay, complicate, or even prevent the successful completion of a training event. The eBioKit is a stand-alone educational platform that hosts numerous tools and databases for bioinformatics research and allows training to take place in a controlled environment. A key advantage of the eBioKit over other existing teaching solutions is that all the required software and databases are locally installed on the system, significantly reducing the dependence on the internet. Furthermore, the architecture of the eBioKit has demonstrated itself to be an excellent balance between portability and performance, not only making the eBioKit an exceptional educational tool but also providing small research groups with a platform to incorporate bioinformatics analysis in their research. As a result, the eBioKit has formed an integral part of training and research performed by a wide variety of universities and organizations such as the Pan African Bioinformatics Network (H3ABioNet) as part of the initiative Human Heredity and Health in Africa (H3Africa), the Southern Africa Network for Biosciences (SAnBio) initiative, the Biosciences eastern and central Africa (BecA) hub, and the International Glossina Genome Initiative. |
| format | Journal Article |
| id | CGSpace129437 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1294372024-08-27T10:35:15Z The eBioKit, a stand-alone educational platform for bioinformatics Hernández-de-Diego, Rafael Villiers, Etienne P. de Klingström, Tomas Gourlé, Hadrien Conesa, Ana Bongcam-Rudloff, Erik bioinformatics genetics molecular biology ecology Bioinformatics skills have become essential for many research areas; however, the availability of qualified researchers is usually lower than the demand and training to increase the number of able bioinformaticians is an important task for the bioinformatics community. When conducting training or hands-on tutorials, the lack of control over the analysis tools and repositories often results in undesirable situations during training, as unavailable online tools or version conflicts may delay, complicate, or even prevent the successful completion of a training event. The eBioKit is a stand-alone educational platform that hosts numerous tools and databases for bioinformatics research and allows training to take place in a controlled environment. A key advantage of the eBioKit over other existing teaching solutions is that all the required software and databases are locally installed on the system, significantly reducing the dependence on the internet. Furthermore, the architecture of the eBioKit has demonstrated itself to be an excellent balance between portability and performance, not only making the eBioKit an exceptional educational tool but also providing small research groups with a platform to incorporate bioinformatics analysis in their research. As a result, the eBioKit has formed an integral part of training and research performed by a wide variety of universities and organizations such as the Pan African Bioinformatics Network (H3ABioNet) as part of the initiative Human Heredity and Health in Africa (H3Africa), the Southern Africa Network for Biosciences (SAnBio) initiative, the Biosciences eastern and central Africa (BecA) hub, and the International Glossina Genome Initiative. 2017-09-14 2023-03-10T14:35:18Z 2023-03-10T14:35:18Z Journal Article https://hdl.handle.net/10568/129437 en Open Access Public Library of Science Hernández-de-Diego, Rafael; Villiers, Etienne P. de; Klingström, Tomas; Gourlé, Hadrien; Conesa, Ana; Bongcam-Rudloff, Erik. 2017. The eBioKit, a stand-alone educational platform for bioinformatics. PLOS Computational Biology 13: e1005616 |
| spellingShingle | bioinformatics genetics molecular biology ecology Hernández-de-Diego, Rafael Villiers, Etienne P. de Klingström, Tomas Gourlé, Hadrien Conesa, Ana Bongcam-Rudloff, Erik The eBioKit, a stand-alone educational platform for bioinformatics |
| title | The eBioKit, a stand-alone educational platform for bioinformatics |
| title_full | The eBioKit, a stand-alone educational platform for bioinformatics |
| title_fullStr | The eBioKit, a stand-alone educational platform for bioinformatics |
| title_full_unstemmed | The eBioKit, a stand-alone educational platform for bioinformatics |
| title_short | The eBioKit, a stand-alone educational platform for bioinformatics |
| title_sort | ebiokit a stand alone educational platform for bioinformatics |
| topic | bioinformatics genetics molecular biology ecology |
| url | https://hdl.handle.net/10568/129437 |
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