Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Hugh P. Shanahan"'
Autor:
Marcela Alfaro Cordoba, Louise Bezuidenhout, Rafael Cobe, Sara El jadid, Bianca Peterson, Rob Quick, Hugh P. Shanahan, Shanmugasundaram Venkataraman
La investigación cuantitativa contemporánea -sobre todo cuando aborda los retos de investigación más significativos y transdisciplinarios- no puede llevarse a cabo de forma eficaz sin una serie de competencias relacionadas con los datos. Esto inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e2749226f71f99b6ea0b8a10642ac0
Publikováno v:
Science and Engineering Ethics
Data science skills are rapidly becoming a necessity in modern science. In response to this need, institutions and organizations around the world are developing research data science curricula to teach the programming and computational skills that ar
Autor:
Susanna-Assunta Sansone, Dominique Batista, Robert Pergl, Ramon Granell, Allyson L. Lister, Oya Beyan, Milo Thurston, Peter McQuilton, Hugh P. Shanahan, Ben Schaap, Philippe Rocca-Serra, Simon J. Coles, Massimiliano Izzo
Publikováno v:
Data Intelligence, 2(1-2), 151-157
Data Intelligence 2 (2020) 1-2
Data Intelligence 2 (2020) 1-2
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases, across all disciplines. These resources are necessary to meet
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e102642 (2014)
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. We focus on the usability of the resource rather than its performance. We provide an example of how R can be used on Azure to analyse a large amount of
Externí odkaz:
https://doaj.org/article/c9743b9608424f38a4401176c9c814bd
Autor:
Jamie J. Alnasir, Hugh P. Shanahan
Publikováno v:
International Journal of Foundations of Computer Science. 29:1355-1372
RNA-seq is a high-throughput Next-sequencing technique for estimating the concentration of all transcripts in a transcriptome. The method involves complex preparatory and post-processing steps which can introduce bias, and the technique produces a la
Autor:
Hugh P. Shanahan, Jamie J. Alnasir
Given the wide variability in the quality of NGS data submitted to public repositories, it is essential to identify methods that can perform quality control on these datasets when additional quality control data, such as mean tile data, is missing. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57e1087a184ed2f3c758fefd4a7b20b
https://doi.org/10.1101/2020.08.23.262055
https://doi.org/10.1101/2020.08.23.262055
Autor:
Jamie J. Alnasir, Hugh P. Shanahan
Publikováno v:
Briefings in Bioinformatics.
The paper reviews the use of the Hadoop platform in structural bioinformatics applications. For structural bioinformatics, Hadoop provides a new framework to analyse large fractions of the Protein Data Bank that is key for high-throughput studies of,
Autor:
Rajini Nagrani, Stephanie Russo Carroll, Gayo Diallo, Panayiota Polydoratou, Hugh P. Shanahan, Simon Parker, Joanne Stocks, Piotr Wojciech Dabrowski, Dawei Lin, Zoe Cournia, Amy Pienta, Timea Biro, Anne Cambon-Thomsen, Thomas Duflot, Mary Uhlmansiek, Daniel Mietchen, Louise Bezuidenhout, Sandra Gesing, Alejandra Gonzalez-Beltran, Fotis Psomopoulos, Claudia Bauzer Medeiros, Juan Bicarregui, Susanna-Assunta Sansone, Alexander Bernier, Claire C. Austin, Gustav Nilsonne, Robyn Rowe, Natalie Meyers, Natalie Harrower, Marcos Roberto Tovani-Palone, Stephanie Rennes, Anupama Gururaj, Leyla Garcia, Lina E. Sitz, Eva Méndez, Brian Pickering
Publikováno v:
Wellcome Open Research
Wellcome open research, 5:267
Wellcome open research, 5:267
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitatin
Publikováno v:
Computational Methods in Systems Biology ISBN: 9783319994284
CMSB
CMSB
Metagenomics is the science of analysing the structure and function of DNA samples taken from the environment (e.g. soil or human gut) as opposed to a single organism. So far, researchers have used traditional genomics tools and pipelines applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1486ca4c811696a9ae3f0e109a02e991
https://doi.org/10.1007/978-3-319-99429-1_22
https://doi.org/10.1007/978-3-319-99429-1_22
Publikováno v:
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics, Vol 14, Iss 3 (2017)
Journal of Integrative Bioinformatics, Vol 14, Iss 3 (2017)