| 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 | 517 | 2018 |
| Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21 (1), 1-35, 2020 | 403 | 2020 |
| Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction D Laehnemann, A Borkhardt, AC McHardy Briefings in bioinformatics 17 (1), 154-179, 2016 | 259 | 2016 |
| When the most potent combination of antibiotics selects for the greatest bacterial load: the smile-frown transition R Pena-Miller, D Laehnemann, G Jansen, A Fuentes-Hernandez, ... PLoS biology 11 (4), e1001540, 2013 | 205 | 2013 |
| Host–Pathogen Coevolution: The Selective Advantage of Bacillus thuringiensis Virulence and Its Cry Toxin Genes L Masri, A Branca, AE Sheppard, A Papkou, D Laehnemann, ... PLoS biology 13 (6), e1002169, 2015 | 70 | 2015 |
| Five percent of healthy newborns have an ETV6-RUNX1 fusion as revealed by DNA-based GIPFEL screening D Schäfer, M Olsen, D Lähnemann, M Stanulla, R Slany, K Schmiegelow, ... Blood 131 (7), 821, 2018 | 64 | 2018 |
| Genomics of rapid adaptation to antibiotics: convergent evolution and scalable sequence amplification D Laehnemann, R Peña-Miller, P Rosenstiel, R Beardmore, G Jansen, ... Genome biology and evolution 6 (6), 1287-1301, 2014 | 53 | 2014 |
| The optimal deployment of synergistic antibiotics: a control-theoretic approach R Pena-Miller, D Lähnemann, H Schulenburg, M Ackermann, ... Journal of The Royal Society Interface 9 (75), 2488-2502, 2012 | 19 | 2012 |
| Selecting against antibiotic-resistant pathogens: optimal treatments in the presence of commensal bacteria R Peña-Miller, D Lähnemann, H Schulenburg, M Ackermann, ... Bulletin of mathematical biology 74 (4), 908-934, 2012 | 18 | 2012 |
| 12 Grand challenges in single-cell data science D Laehnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... PeerJ Preprints, 2019 | 7 | 2019 |
| ProSolo: Accurate Variant Calling from Single Cell DNA Sequencing Data D Lähnemann, J Köster, U Fischer, A Borkhardt, AC McHardy, ... bioRxiv, 2020 | 5 | 2020 |
| Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo D Lähnemann, J Köster, U Fischer, A Borkhardt, AC McHardy, ... Nature Communications 12 (1), 1-11, 2021 | 2 | 2021 |
| Scientific Software-the role of best practices and recommendations B Fritzsch, E Bernstein, W Castell, M Diesmann, H Haas, M Hammitzsch, ... EGU General Assembly Conference Abstracts, 3294, 2017 | 1 | 2017 |
| Helmholtz Open Science Workshop „Zugang zu und Nachnutzung von wissenschaftlicher Software “# hgfos16 KS Scheliga, H Pampel, E Bernstein, C Bruch, W zu Castell, M Diesmann, ... Helmholtz-Gemeinschaft, 2017 | 1 | 2017 |
| Microphaser-a small-scale phasing approach for improved personalized neopeptidome creation J Forster, D Laehnemann, A Paschen, A Schramm, M Schuler, J Koester bioRxiv, 2021 | | 2021 |
| Helmholtz Open Science Workshop „Zugang zu und Nachnutzung von wissenschaftlicher Software “# hgfos16: Report; November 2016 KS Scheliga, H Pampel, E Bernstein, C Bruch, W zu Castell, M Diesmann, ... Deutsches GeoForschungsZentrum GFZ, 2017 | | 2017 |
