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Fernando Mora-Márquez

dblp:227/3537 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0001-9007-6444ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.312018
NGScloud: RNA-seq analysis of non-model species using cloud computing · Bioinform. 2018
Cloud and datacenter computing › cloud applications
cloud-based bioinformatics
0.312018
NGScloud: RNA-seq analysis of non-model species using cloud computing · Bioinform. 2018
YearPublicationVenuePosition
2018 NGScloud: RNA-seq analysis of non-model species using cloud computing
abstract
Summary: RNA-seq analysis usually requires large computing infrastructures. NGScloud is a bioinformatic system developed to analyze RNA-seq data using the cloud computing services of Amazon that permit the access to ad hoc computing infrastructure scaled according to the complexity of the experiment, so its costs and times can be optimized. The application provides a user-friendly front-end to operate Amazon's hardware resources, and to control a workflow of RNA-seq analysis oriented to non-model species, incorporating the cluster concept, which allows parallel runs of common RNA-seq analysis programs in several virtual machines for faster analysis. Availability and implementation: NGScloud is freely available at https://github.com/GGFHF/NGScloud/. A manual detailing installation and how-to-use instructions is available with the distribution.
Fernando Mora-Márquez, José Luis Vázquez-Poletti, Unai López de Heredia
Bioinform.1