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Juan Mariano Fuentes-Serna

dblp:176/9881 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 · 77% Computational science and engineering · 23%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
laboratory information management		 0.212016
openBIS ELN-LIMS: an open-source database for academic laboratories · Bioinform. 2016
Computational science and engineering
scientific data management		 0.112016
openBIS ELN-LIMS: an open-source database for academic laboratories · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

web-based data management · 0.2
YearPublicationVenuePosition
2016 openBIS ELN-LIMS: an open-source database for academic laboratories
abstract
UNLABELLED: The open-source platform openBIS (open Biology Information System) offers an Electronic Laboratory Notebook and a Laboratory Information Management System (ELN-LIMS) solution suitable for the academic life science laboratories. openBIS ELN-LIMS allows researchers to efficiently document their work, to describe materials and methods and to collect raw and analyzed data. The system comes with a user-friendly web interface where data can be added, edited, browsed and searched. AVAILABILITY AND IMPLEMENTATION: The openBIS software, a user guide and a demo instance are available at https://openbis-eln-lims.ethz.ch. The demo instance contains some data from our laboratory as an example to demonstrate the possibilities of the ELN-LIMS (Ottoz et al., 2014). For rapid local testing, a VirtualBox image of the ELN-LIMS is also available.
Caterina Barillari, Diana S. M. Ottoz, Juan Mariano Fuentes-Serna, Chandrasekhar Ramakrishnan, Bernd Rinn, Fabian Rudolf
 Bioinform.3