| 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 | 3749 | 2018 |
| The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update E Afgan, D Baker, M van den Beek, D Blankenberg, D Bouvier, M Čech, ... Nucleic Acids Research 44 (W1), W3-W10, 2016 | 2089 | 2016 |
| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods 9 (8), 796-804, 2012 | 1803 | 2012 |
| 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, 2018 | 886 | 2018 |
| The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update TG Community Nucleic Acids Research 50 (W1), W345-W351, 2022 | 304 | 2022 |
| NCBI BLAST+ integrated into Galaxy PJA Cock, JM Chilton, B Grüning, JE Johnson, N Soranzo GigaScience 4, 39, 2015 | 237 | 2015 |
| 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 | 182 | 2018 |
| Orione, a web-based framework for NGS analysis in microbiology G Cuccuru, M Orsini, A Pinna, A Sbardellati, N Soranzo, A Travaglione, ... Bioinformatics 30 (13), 1928-1929, 2014 | 181 | 2014 |
| Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data N Soranzo, G Bianconi, C Altafini Bioinformatics 23 (13), 1640-1647, 2007 | 164 | 2007 |
| Practical computational reproducibility in the life sciences B Grüning, J Chilton, J Köster, R Dale, N Soranzo, M van den Beek, ... Cell Systems 6 (6), 631-635, 2018 | 142 | 2018 |
| From knockouts to networks: establishing direct cause-effect relationships through graph analysis A Pinna, N Soranzo, A de la Fuente PLOS ONE 5 (10), e12912, 2010 | 108 | 2010 |
| Alterations of a Cellular Cholesterol Metabolism Network Are a Molecular Feature of Obesity-Related Type 2 Diabetes and Cardiovascular Disease J Ding, LM Reynolds, T Zeller, C Müller, K Lohman, BJ Nicklas, ... Diabetes 64 (10), 3464-3474, 2015 | 103 | 2015 |
| Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach P Meyer, T Cokelaer, D Chandran, KH Kim, PR Loh, G Tucker, M Lipson, ... BMC systems biology 8 (1), 13, 2014 | 81 | 2014 |
| Transcriptomic profiles of aging in purified human immune cells LM Reynolds, J Ding, JR Taylor, K Lohman, N Soranzo, A de la Fuente, ... BMC genomics 16, 333, 2015 | 74 | 2015 |
| Determining the distance to monotonicity of a biological network: a graph-theoretical approach G Iacono, F Ramezani, N Soranzo, C Altafini IET Systems Biology 4 (3), 223-235, 2010 | 62 | 2010 |
| Simulating systems genetics data with SysGenSIM A Pinna, N Soranzo, I Hoeschele, A de la Fuente Bioinformatics 27 (17), 2459-2462, 2011 | 52 | 2011 |
| LotuS2: an ultrafast and highly accurate tool for amplicon sequencing analysis E Özkurt, J Fritscher, N Soranzo, DYK Ng, RP Davey, M Bahram, ... Microbiome 10 (1), 176, 2022 | 42 | 2022 |
| Discerning static and causal interactions in genome-wide reverse engineering problems M Zampieri, N Soranzo, C Altafini Bioinformatics 24 (13), 1510-1515, 2008 | 42 | 2008 |
| RNA-Seq Data Analysis in Galaxy B Batut, M Beek, MA Doyle, N Soranzo RNA Bioinformatics, 367-392, 2021 | 38 | 2021 |
| 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 | 37 | 2023 |
Björn GrüningUniversity of Freiburg在 informatik.uni-freiburg.de 的电子邮件经过验证
