| 1,135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana C Alonso-Blanco, J Andrade, C Becker, F Bemm, J Bergelson, ... Cell 166 (2), 481-491, 2016 | 1271 | 2016 |
| Epigenomic diversity in a global collection of Arabidopsis thaliana accessions T Kawakatsu, SC Huang, F Jupe, E Sasaki, RJ Schmitz, MA Urich, ... Cell 166 (2), 492-505, 2016 | 695 | 2016 |
| Current challenges and best-practice protocols for microbiome analysis R Bharti, DG Grimm Briefings in Bioinformatics, 2019 | 508 | 2019 |
| The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity DG Grimm, CA Azencott, F Aicheler, U Gieraths, DG MacArthur, ... Human mutation 36 (5), 513-523, 2015 | 405 | 2015 |
| Genome-wide analysis of local chromatin packing in Arabidopsis thaliana C Wang, C Liu, D Roqueiro, D Grimm, R Schwab, C Becker, C Lanz, ... Genome research 25 (2), 246-256, 2015 | 311 | 2015 |
| Improved EGFR mutation detection using combined exosomal RNA and circulating tumor DNA in NSCLC patient plasma AK Krug, D Enderle, C Karlovich, T Priewasser, S Bentink, A Spiel, ... Annals of Oncology 29 (3), 700-706, 2018 | 277 | 2018 |
| Exosome-Based Detection of EGFR T790M in Plasma from Non–Small Cell Lung Cancer Patients E Castellanos-Rizaldos, DG Grimm, V Tadigotla, J Hurley, J Healy, ... Clinical cancer research 24 (12), 2944-2950, 2018 | 211 | 2018 |
| The rate and potential relevance of new mutations in a colonizing plant lineage M Exposito-Alonso, C Becker, VJ Schuenemann, E Reiter, C Setzer, ... PLoS genetics 14 (2), e1007155, 2018 | 138 | 2018 |
| easyGWAS: a cloud-based platform for comparing the results of genome-wide association studies DG Grimm, D Roqueiro, PA Salomé, S Kleeberger, B Greshake, W Zhu, ... The Plant Cell 29 (1), 5-19, 2017 | 123 | 2017 |
| Prediction of human population responses to toxic compounds by a collaborative competition F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ... Nature biotechnology 33 (9), 933-940, 2015 | 121 | 2015 |
| AraPheno: a public database for Arabidopsis thaliana phenotypes Ü Seren, D Grimm, J Fitz, D Weigel, M Nordborg, K Borgwardt, A Korte Nucleic acids research, gkw986, 2016 | 110 | 2016 |
| The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog M Togninalli, Ü Seren, D Meng, J Fitz, M Nordborg, D Weigel, ... Nucleic Acids Research, 2018 | 99 | 2018 |
| Efficient network-guided multi-locus association mapping with graph cuts CA Azencott, D Grimm, M Sugiyama, Y Kawahara, KM Borgwardt Bioinformatics 29 (13), i171-i179, 2013 | 81 | 2013 |
| Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops N Genze, R Bharti, M Grieb, SJ Schultheiss, DG Grimm Plant methods 16, 1-11, 2020 | 75 | 2020 |
| AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana M Togninalli, Ü Seren, JA Freudenthal, JG Monroe, D Meng, M Nordborg, ... Nucleic acids research 48 (D1), D1063-D1068, 2020 | 68 | 2020 |
| Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids DK Seymour, E Chae, DG Grimm, C Martin Pizarro, A Habring-Müller, ... Proceedings of the National Academy of Sciences 113 (46), E7317-E7326, 2016 | 66 | 2016 |
| Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields N Genze, R Ajekwe, Z Güreli, F Haselbeck, M Grieb, DG Grimm Computers and Electronics in Agriculture 202, 107388, 2022 | 54 | 2022 |
| The AIMe registry for artificial intelligence in biomedical research J Matschinske, N Alcaraz, A Benis, M Golebiewski, DG Grimm, L Heumos, ... Nature methods 18 (10), 1128-1131, 2021 | 54 | 2021 |
| Machine learning outperforms classical forecasting on horticultural sales predictions F Haselbeck, J Killinger, K Menrad, T Hannus, DG Grimm Machine Learning with Applications 7, 100239, 2022 | 53 | 2022 |
| Exosome-based detection of activating and resistance EGFR mutations from plasma of non-small cell lung cancer patients E Castellanos-Rizaldos, X Zhang, VR Tadigotla, DG Grimm, C Karlovich, ... Oncotarget 10 (30), 2911, 2019 | 52 | 2019 |
Karsten BorgwardtDirector, Max Planck Institute of Biochemistrybiochem.mpg.de의 이메일 확인됨