Miguel Roncoroni

ORCID: 0000-0001-7461-1427
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About
Contact & Profiles
Research Areas
  • Fermentation and Sensory Analysis
  • Horticultural and Viticultural Research
  • Distributed and Parallel Computing Systems
  • Mathematics, Computing, and Information Processing
  • Engineering and Information Technology
  • Genetics, Bioinformatics, and Biomedical Research
  • Fungal and yeast genetics research
  • Meat and Animal Product Quality
  • Food Quality and Safety Studies
  • CRISPR and Genetic Engineering
  • Genetic and phenotypic traits in livestock
  • Image Processing and 3D Reconstruction
  • Microbial Metabolic Engineering and Bioproduction
  • Wine Industry and Tourism
  • Insect Utilization and Effects
  • Insect behavior and control techniques
  • Insect Pest Control Strategies
  • Single-cell and spatial transcriptomics
  • Biopolymer Synthesis and Applications
  • Scientific Computing and Data Management
  • bioluminescence and chemiluminescence research
  • Research Data Management Practices
  • Sensory Analysis and Statistical Methods
  • Advanced Chemical Sensor Technologies
  • Genomics and Phylogenetic Studies

KU Leuven
2016-2024

VIB-KU Leuven Center for Microbiology
2018-2024

Volgograd Institute of Business
2022

Ghent University
2021

VIB-UGent Center for Plant Systems Biology
2021

University of Auckland
2011-2018

Institut thématique Génétique, génomique et bioinformatique
2018

Enis Afgan Anton Nekrutenko Björn Grüning Daniel Blankenberg Jeremy Goecks and 95 more Michael C. Schatz Alexander Ostrovsky Alexandru Mahmoud Andrew Lonie Anna Syme Anne Fouilloux Anthony Bretaudeau Anton Nekrutenko Anup Kumar Arthur C. Eschenlauer Assunta D DeSanto Aysam Guerler Beatriz Serrano‐Solano Bérénice Batut Björn Grüning Bradley W. Langhorst Bridget Carr Bryan Raubenolt Cameron Hyde Catherine J. Bromhead Christopher B. Barnett Coline Royaux Cristóbal Gallardo Daniel Blankenberg Daniel Fornika Dannon Baker Dave Bouvier Dave Clements David Anderson de Lima Morais David López Tabernero Delphine Larivière Engy Nasr Enis Afgan Federico Zambelli Florian Heyl Fotis Psomopoulos Frederik Coppens Gareth Price Gianmauro Cuccuru Gildas Le Corguillé Greg Von Kuster Gulsum Gudukbay Akbulut Helena Rasche Hans-Rudolf Hotz Ignacio Eguinoa Igor V. Makunin Isuru Ranawaka James Taylor Jayadev Joshi Jennifer Hillman‐Jackson Jeremy Goecks John Chilton Kaivan Kamali Keith Suderman Krzysztof Poterlowicz Le Bras Yvan Lucille Lopez‐Delisle Luke Sargent Madeline E. Bassetti M. A. Tangaro Marius van den Beek Martin Čech Matthias Bernt Matthias Fahrner Mehmet Tekman Melanie Christine Föll Michael C. Schatz Michael R. Crusoe Miguel Roncoroni Natalie Kucher Nate Coraor Nicholas Stoler Nick Rhodes Nicola Soranzo Niko Pinter Nuwan Goonasekera Pablo Moreno Pavankumar Videm Mélanie Pétéra Pietro Mandreoli Pratik Jagtap Qiang Gu Ralf J. M. Weber Ross Lazarus Ruben H.P. Vorderman Saskia Hiltemann Sergey Golitsynskiy Shilpa Garg Simon Bray Simon Gladman Simone Leo Subina Mehta Timothy J. Griffin Vahid Jalili Yves Vandenbrouck

Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues use, maintain contribute the project, support from multiple national infrastructure providers that enable freely analysis training services. The Training Network supports free, self-directed, virtual >230 integrated tutorials. Project engagement metrics have continued grow...

10.1093/nar/gkac247 article EN cc-by Nucleic Acids Research 2022-04-14

Abstract The perception and appreciation of food flavor depends on many interacting chemical compounds external factors, therefore proves challenging to understand predict. Here, we combine extensive sensory analyses 250 different beers train machine learning models that allow predicting consumer appreciation. For each beer, measure over 200 properties, perform quantitative descriptive analysis with a trained tasting panel map data from 180,000 reviews 10 models. best-performing algorithm,...

10.1038/s41467-024-46346-0 article EN cc-by Nature Communications 2024-03-26

Cells constantly adapt to environmental fluctuations. These physiological changes require time and therefore cause a lag phase during which the cells do not function optimally. Interestingly, past exposure an condition can shorten needed when re-occurs, even in daughter that never directly encountered initial condition. Here, we use molecular toolbox of Saccharomyces cerevisiae systematically unravel mechanism underlying such history-dependent behavior transitions between glucose maltose. In...

10.7554/elife.39234 article EN cc-by eLife 2018-10-09

The ability of a genotype to produce different phenotypes according its surrounding environment is known as phenotypic plasticity. Within individuals the same species, plasticity can vary greatly. This contrasting response caused by gene-by-environment interactions (GxE). Understanding GxE particularly important in agronomy, since selected breeds and varieties may have divergent their growing environment. Industrial microbes such Saccharomyces cerevisiae are also faced with large range...

10.1186/s12864-018-5145-4 article EN cc-by BMC Genomics 2018-10-25

The undesirable rotten-egg odour of hydrogen sulfide (H2S) produced by yeast shortly after inoculation grape musts might be an important source desirable varietal thiols, which contribute to tropical aromas in varieties such as Sauvign-on Blanc. In this study, we observed that Saccharomyces cerevisiae strains produce early burst H2S from cysteine. Both Δmet2 and Δmet17 a larger burst, likely because they are unable utilise the sulfate assimilation pathway. For first time, show TUM1 is partly...

10.1093/femsyr/fow100 article EN FEMS Yeast Research 2016-11-25

Many aspects of the global response to COVID-19 pandemic are enabled by fast and open publication SARS-CoV-2 genetic sequence data. The European Nucleotide Archive (ENA) is recommended repository for sequences. In this work, we present a tool submitting raw sequencing reads ENA. features single-step submission process, graphical user interface, tabular-formatted metadata possibility remove human prior submission. A Galaxy wrap allows users with little or no bioinformatics knowledge do bulk...

10.1093/bioinformatics/btab421 article EN cc-by Bioinformatics 2021-06-05

Abstract The ability of a genotype to produce different phenotypes according its surrounding environment is known as phenotypic plasticity. Within individuals the same species, plasticity can vary greatly. This contrasted response due allelic variations and caused by gene-by-environment interactions (GxE). Finding genes cellular functions that interact with current challenge for better understanding genetic bases In order study impact natural having but relevant effect in changing...

10.1101/288944 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2018-03-27
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