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Rafael Alcántara

dblp:90/1900 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0001-5152-9922ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
biological data visualization
0.212013
BioJS: an open source JavaScript framework for biological data visualization · Bioinform. 2013
Bioinformatics and computational biology
software infrastructure
0.012013
BioJS: an open source JavaScript framework for biological data visualization · Bioinform. 2013

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

javascript · 0.2community-driven specification · 0.2
YearPublicationVenuePosition
2013 BioJS: an open source JavaScript framework for biological data visualization
abstract
SUMMARY: BioJS is an open-source project whose main objective is the visualization of biological data in JavaScript. BioJS provides an easy-to-use consistent framework for bioinformatics application programmers. It follows a community-driven standard specification that includes a collection of components purposely designed to require a very simple configuration and installation. In addition to the programming framework, BioJS provides a centralized repository of components available for reutilization by the bioinformatics community. AVAILABILITY AND IMPLEMENTATION: http://code.google.com/p/biojs/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
John Gómez, Leyla Jael Castro, Gustavo A. Salazar, Jose M. Villaveces, Swanand P. Gore, Alexander García Castro, Maria Jesus Martin, Guillaume Launay, Rafael Alcántara, Noemi del-Toro, Marine Sivade, Sandra E. Orchard, Sameer Velankar, Henning Hermjakob, Chenggong Zong, Peipei Ping, Manuel Corpas, Rafael C. Jiménez
Bioinform.9
2013 The Enzyme Portal: A case study in applying user-centred design methods in bioinformatics
abstract
User-centred design (UCD) is a type of user interface design in which the needs and desires of users are taken into account at each stage of the design process for a service or product; often for software applications and websites. Its goal is to facilitate the design of software that is both useful and easy to use. To achieve this, you must characterise users' requirements, design suitable interactions to meet their needs, and test your designs using prototypes and real life scenarios.For bioinformatics, there is little practical information available regarding how to carry out UCD in practice. To address this we describe a complete, multi-stage UCD process used for creating a new bioinformatics resource for integrating enzyme information, called the Enzyme Portal (http://www.ebi.ac.uk/enzymeportal). This freely-available service mines and displays data about proteins with enzymatic activity from public repositories via a single search, and includes biochemical reactions, biological pathways, small molecule chemistry, disease information, 3D protein structures and relevant scientific literature.We employed several UCD techniques, including: persona development, interviews, 'canvas sort' card sorting, user workflows, usability testing and others. Our hope is that this case study will motivate the reader to apply similar UCD approaches to their own software design for bioinformatics. Indeed, we found the benefits included more effective decision-making for design ideas and technologies; enhanced team-working and communication; cost effectiveness; and ultimately a service that more closely meets the needs of our target audience.
Paula de Matos, Jennifer A. Cham, Rafael Alcántara, Francis Rowland, Rodrigo Lopez, Christoph Steinbeck
BMC Bioinform.4