Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data. - Nicola Soranzo; Ginestra Bianconi; Claudio Altafini (Bioinform., 2007)

Modeling the genome-wide transient response to stimuli in yeast: Adaptation through integral feedback. - Mattia Zampieri; Nicola Soranzo; Claudio Altafini (CDC, 2008)

Discerning static and causal interactions in genome-wide reverse engineering problems. - Mattia Zampieri; Nicola Soranzo; Claudio Altafini (Bioinform., 2008)

On the distance to monotonicity of a biological network: A graph-theoretical approach. - Fahimeh Ramezani 002; Giovanni Iacono; Nicola Soranzo; Claudio Altafini (ECC, 2009)

ERNEST: a toolbox for chemical reaction network theory. - Nicola Soranzo; Claudio Altafini (Bioinform., 2009)

mRNA stability and the unfolding of gene expression in the long-period yeast metabolic cycle. - Nicola Soranzo; Mattia Zampieri; Lorenzo Farina; Claudio Altafini (BMC Syst. Biol., 2009)

Simulating systems genetics data with SysGenSIM. - Andrea Pinna 003; Nicola Soranzo; Ina Hoeschele; Alberto de la Fuente (Bioinform., 2011)

Decompositions of large-scale biological systems based on dynamical properties. - Nicola Soranzo; Fahimeh Ramezani 002; Giovanni Iacono; Claudio Altafini (Bioinform., 2012)

A Hadoop-Galaxy adapter for user-friendly and scalable data-intensive bioinformatics in Galaxy. - Luca Pireddu; Simone Leo; Nicola Soranzo; Gianluigi Zanetti (BCB, 2014)

Orione, a web-based framework for NGS analysis in microbiology. - Gianmauro Cuccuru; Massimiliano Orsini; Andrea Pinna 003; Andrea Sbardellati; Nicola Soranzo; Antonella Travaglione; Paolo Uva; Gianluigi Zanetti; Giorgio Fotia (Bioinform., 2014)

BioBlend.objects: metacomputing with Galaxy. - Simone Leo; Luca Pireddu; Gianmauro Cuccuru; Luca Lianas; Nicola Soranzo; Enis Afgan; Gianluigi Zanetti (Bioinform., 2014)

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. - Enis Afgan; Dannon Baker; Marius van den Beek; Daniel J. Blankenberg; Dave Bouvier; Martin Cech; John Chilton; Dave Clements; Nate Coraor; Carl Eberhard; Björn A. Grüning; Aysam Guerler; et al. (Nucleic Acids Res., 2016)

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. - Enis Afgan; Dannon Baker; Bérénice Batut; Marius van den Beek; Dave Bouvier; Martin Cech; John Chilton; Dave Clements; Nate Coraor; Björn A. Grüning; Aysam Guerler; Jennifer Hillman-Jackson; et al. (Nucleic Acids Res., 2018)

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. - Enis Afgan; Anton Nekrutenko; Björn A. Grüning; Daniel J. Blankenberg; Jeremy Goecks; Michael C. Schatz; Alexander E. Ostrovsky; Alexandru Mahmoud; Andrew J. Lonie; Anna Syme; Anne Fouilloux; Anthony Bretaudeau; et al. (Nucleic Acids Res., 2022)

Galaxy Training: A powerful framework for teaching! - Saskia D. Hiltemann; Helena Rasche; Simon L. Gladman; Hans-Rudolf Hotz; Delphine Larivière; Daniel J. Blankenberg; Pratik D. Jagtap; Thomas Wollmann; Anthony Bretaudeau; Nadia Goué; Timothy J. Griffin; Coline Royaux; et al. (PLoS Comput. Biol., 2023)

Applying the FAIR Principles to Computational Workflows. - Sean R. Wilkinson; Meznah Aloqalaa; Khalid Belhajjame; Michael R. Crusoe; Bruno de Paula Kinoshita; Luiz Gadelha; Daniel Garijo; Ove Johan Ragnar Gustafsson; Nick S. Juty; Sehrish Kanwal; Farah Zaib Khan; Johannes Köster; et al. (CoRR, 2024)