| The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update E Afgan, D Baker, B Batut, M Van Den Beek, D Bouvier, M Čech, J Chilton, ... Nucleic acids research 46 (W1), W537-W544, 2018 | 3761 | 2018 |
| Bioconda: sustainable and comprehensive software distribution for the life sciences B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ... Nature methods 15 (7), 475-476, 2018 | 798 | 2018 |
| Community-driven data analysis training for biology B Batut, S Hiltemann, A Bagnacani, D Baker, V Bhardwaj, C Blank, ... Cell systems 6 (6), 752-758. e1, 2018 | 171 | 2018 |
| Reductive genome evolution at both ends of the bacterial population size spectrum B Batut, C Knibbe, G Marais, V Daubin Nature Reviews Microbiology 12 (12), 841-850, 2014 | 167 | 2014 |
| Four simple recommendations to encourage best practices in research software RC Jiménez, M Kuzak, M Alhamdoosh, M Barker, B Batut, M Borg, ... F1000Research 6, 2017 | 130 | 2017 |
| Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N6-carboxymethyllysine O Mossad, B Batut, B Yilmaz, N Dokalis, C Mezö, E Nent, LS Nabavi, ... Nature neuroscience 25 (3), 295-305, 2022 | 101 | 2022 |
| In silico experimental evolution: a tool to test evolutionary scenarios B Batut, DP Parsons, S Fischer, G Beslon, C Knibbe BMC bioinformatics 14, 1-11, 2013 | 68 | 2013 |
| Environmental Pollutant Benzo[a]Pyrene Impacts the Volatile Metabolome and Transcriptome of the Human Gut Microbiota C Defois, J Ratel, S Denis, B Batut, R Beugnot, E Peyretaillade, E Engel, ... Frontiers in Microbiology 8, 1562, 2017 | 62 | 2017 |
| The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy BA Grüning, J Fallmann, D Yusuf, S Will, A Erxleben, F Eggenhofer, ... Nucleic acids research 45 (W1), W560-W566, 2017 | 48 | 2017 |
| Ten simple rules for making training materials FAIR L Garcia, B Batut, ML Burke, M Kuzak, F Psomopoulos, R Arcila, ... PLOS Computational Biology 16 (5), e1007854, 2020 | 41 | 2020 |
| RNA-seq data analysis in Galaxy B Batut, M van den Beek, MA Doyle, N Soranzo RNA Bioinformatics, 367-392, 2021 | 27 | 2021 |
| A single-cell RNA-sequencing training and analysis suite using the Galaxy framework M Tekman, B Batut, A Ostrovsky, C Antoniewski, D Clements, F Ramirez, ... GigaScience 9 (10), giaa102, 2020 | 27 | 2020 |
| ASaiM: a Galaxy-based framework to analyze microbiota data B Batut, K Gravouil, C Defois, S Hiltemann, JF Brugère, E Peyretaillade, ... GigaScience 7 (6), giy057, 2018 | 26 | 2018 |
| Galaxy Training: A powerful framework for teaching! S Hiltemann, H Rasche, S Gladman, HR Hotz, D Larivière, D Blankenberg, ... PLoS computational biology 19 (1), e1010752, 2023 | 24 | 2023 |
| Fostering accessible online education using Galaxy as an e-learning platform B Serrano-Solano, MC Föll, C Gallardo-Alba, A Erxleben, H Rasche, ... PLoS computational biology 17 (5), e1008923, 2021 | 16 | 2021 |
| The RNA workbench 2.0: next generation RNA data analysis J Fallmann, P Videm, A Bagnacani, B Batut, MA Doyle, T Klingstrom, ... Nucleic acids research 47 (W1), W511-W515, 2019 | 10 | 2019 |
| ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework S Mehta, M Crane, E Leith, B Batut, S Hiltemann, MØ Arntzen, BJ Kunath, ... F1000Research 10, 2021 | 8 | 2021 |
| Genome evolution: mutation is the main driver of genome size in prokaryotes GAB Marais, B Batut, V Daubin Current Biology 30 (19), R1083-R1085, 2020 | 8 | 2020 |
| Hands-on: Hands-on: Reference-based RNA-Seq data analysis B Batut, M Freeberg, M Heydarian, A Erxleben, P Videm, C Blank, ... Galaxy Training Network, 2024 | 6 | 2024 |
| Exchange of clinical and omics data according to FAIR principles: a review of open source solutions P Pugliese, C Knell, J Christoph Methods of Information in Medicine 59 (S 01), e13-e20, 2020 | 6 | 2020 |
Björn GrüningUniversity of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
