A Cloud-Based Framework for Machine Learning Workloads and Applications; López García, Álvaro and De Lucas, Jesús Marco and Antonacci, Marica and Zu Castell, Wolfgang and David, Mario and Hardt, Marcus and Lloret Iglesias, Lara and Moltó, Germán and Plociennik, Marcin and Tran, Viet and Alic, Andy S. and Caballer, Miguel and Plasencia, Isabel Campos and Costantini, Alessandro and Dlugolinsky, Stefan and Duma, Doina Cristina and Donvito, Giacinto and Gomes, Jorge and Heredia Cacha, Ignacio and Ito, Keiichi and Kozlov, Valentin Y. and Nguyen, Giang and Orviz Fernández, Pablo and Šustr, Zděnek and Wolniewicz, Pawel; IEEE Access; 2020; DOI: 10.1109/ACCESS.2020.2964386

Easy One-Step Amplification and Labeling Procedure for Copy Number Variation Detection; Sebastián Blesa, María D Olivares, Andy S Alic, Alicia Serrano, Verónica Lendinez, Verónica González-Albert, Laura Olivares, Sergio Martínez-Hervás, José M Juanes, Pablo Marín, Jose T Real, Blanca Navarro, Ana B García-García, Felipe J Chaves, Carmen Ivorra; Clinical Chemistry; 2020; DOI: 10.1093/clinchem/hvaa002

BIGSEA: A Big Data analytics platform for public transportation information; Andy S. Alic, Jussara Almeida, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes, Danilo Ardagna, Rosa M. Badia, Tania Basso, Ignacio Blanquer, Tarciso Braz, Andrey Brito, Donatello Elia, Sandro Fiore, Dorgival Guedes, Marco Lattuada, Daniele Lezzi, Matheus Maciel, Wagner Meira, Demetrio Mestre, Regina Moraes, Fabio Morais, Carlos Eduardo Pires, Nádia P. Kozievitch, Walter dos Santos, Paulo Silva, Marco Vieira; Future Generation Computer Systems; 2019; DOI: 10.1016/j.future.2019.02.011

Objective review of de novo stand-alone error correction methods for NGS data; Andy S. Alic, David Ruzafa, Joaquin Dopazo, Ignacio Blanquer; WIREs Computational Molecular Science; 2016; DOI: 10.1002/wcms.1239

MuffinEc: Error correction for de Novo assembly via greedy partitioning and sequence alignment; Andy S.Alic, Andres Tomas, Ignacio Medina, Ignacio Blanquer; Information Sciences; 2016; DOI: 10.1016/j.ins.2015.09.012

MuffinInfo: HTML5-Based Statistics Extractor from Next-Generation Sequencing Data; Andy S. Alic, Ignacio Blanquer; Journal of Computational Biology; 2016; DOI: 10.1089/cmb.2016.0031

Composition and Deployment of Complex Container-Based Application Architectures on Multi-Clouds; Presentation  Andy S. Alic, Marica Antonacci, Ignacio Blanquer, Miguel Caballer, Giacinto Donvito, Álvaro López, Germán Moltó; Digital Infrastructures for Research;; Lisbon, PT; October 2018;

Building and Deploying Complex Applications on Hybrid Clouds; Lecture  Andy S. Alic, Miguel Caballer, Germán Moltó; NEW CHALLENGES IN DATA SCIENCE: BIG DATA AND DEEP LEARNING ON DATA CLOUDS;; Santander, ES; June 2018;

EUBra-BIGSEA framework live demo; Demo  Andy S. Alic, Marica Antonacci, Ignacio Blanquer, Miguel Caballer, Giacinto Donvito, Álvaro López, Germán Moltó; Digital Infrastructures for Research (Di4R);; Brussels, BE; December 2017;

Error Correction of NGS Data; Lecture  Andy S. Alic, Ignacio Blanquer; e-Research Summer Hackfest;; Catania, IT; June 2016;

MuffinInfo: HTML5 statistics extraction system from FastQ/Fasta/Sam files; Poster  Andy S. Alic, Ignacio Blanquer; 23rd Annual International Conference on/European Conference on Computational Biology (ECCB) and Intelligent Systems for Molecular Biology (ISMB);; Dublin, IE; July 2015;

Robust Error Correction for De Novo Assembly via Spectral Partitioning and Sequence Alignment; Presentation  A. Alic, Andres Tomás, Jose Salavert, Ignacio Medina, Ignacio Blanquer; 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO);; Granada, ES; April 2014;