Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes HB Nielsen, M Almeida, AS Juncker, S Rasmussen, J Li, S Sunagawa, ... Nature biotechnology 32 (8), 822-828, 2014 | 946 | 2014 |
A catalog of the mouse gut metagenome L Xiao, Q Feng, S Liang, SB Sonne, Z Xia, X Qiu, X Li, H Long, J Zhang, ... Nature biotechnology 33 (10), 1103-1108, 2015 | 438 | 2015 |
Mutations in FGF17, IL17RD, DUSP6, SPRY4, and FLRT3 are identified in individuals with congenital hypogonadotropic hypogonadism H Miraoui, AA Dwyer, GP Sykiotis, L Plummer, W Chung, B Feng, ... The American Journal of Human Genetics 92 (5), 725-743, 2013 | 284 | 2013 |
Novel variation and de novo mutation rates in population-wide de novo assembled Danish trios S Besenbacher, S Liu, JMG Izarzugaza, J Grove, K Belling, J Bork-Jensen, ... Nature communications 6 (1), 5969, 2015 | 173 | 2015 |
An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge CA Brownstein, AH Beggs, N Homer, B Merriman, TW Yu, KC Flannery, ... Genome biology 15, 1-18, 2014 | 113 | 2014 |
Protein interaction-based genome-wide analysis of incident coronary heart disease MK Jensen, TH Pers, P Dworzynski, CJ Girman, S Brunak, EB Rimm Circulation: Cardiovascular Genetics 4 (5), 549-556, 2011 | 63 | 2011 |
Meta‐analysis of heterogeneous data sources for genome‐scale identification of risk genes in complex phenotypes TH Pers, NT Hansen, K Lage, P Koefoed, P Dworzynski, ML Miller, ... Genetic epidemiology 35 (5), 318-332, 2011 | 39 | 2011 |
Nationwide prediction of type 2 diabetes comorbidities P Dworzynski, M Aasbrenn, K Rostgaard, M Melbye, TA Gerds, H Hjalgrim, ... Scientific reports 10 (1), 1776, 2020 | 31 | 2020 |
MetaRanker 2.0: a web server for prioritization of genetic variation data TH Pers, P Dworzyński, CE Thomas, K Lage, S Brunak Nucleic acids research 41 (W1), W104-W108, 2013 | 28 | 2013 |
Crystal structures of putative phosphoglycerate kinases from B. anthracis and C. jejuni H Zheng, EV Filippova, KL Tkaczuk, P Dworzynski, M Chruszcz, ... Journal of structural and functional genomics 13, 15-26, 2012 | 8 | 2012 |
Implementations of the chemical structural and compositional similarity metric in R and Python A Brejnrod, M Ernst, P Dworzynski, LB Rasmussen, PC Dorrestein, ... bioRxiv, 546150, 2019 | 4 | 2019 |
Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome A Rieckmann, P Dworzynski, L Arras, S Lapuschkin, W Samek, OA Arah, ... International Journal of Epidemiology 51 (5), 1622-1636, 2022 | 2 | 2022 |
Causes of outcome learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome A Rieckmann, P Dworzynski, L Arras, S Lapuschkin, W Samek, OA Arah, ... medRxiv, 2020.12. 10.20225243, 2020 | 2 | 2020 |
Machine learning models aimed at identifying risk factors for reducing morbidity and mortality still need to consider confounding related to calendar time variations A Rieckmann, TL Nguyen, P Dworzynski, AB Fisker, NH Rod, CT Ekstrøm medRxiv, 2022.05. 24.22275482, 2022 | | 2022 |
A catalog of the mouse gut metagenome (vol 33, pg 1103, 2015) L Xiao, Q Feng, S Liang, SB Sonne, Z Xia, X Qiu, X Li, H Long, J Zhang, ... NATURE BIOTECHNOLOGY 37 (1), 102-102, 2019 | | 2019 |
Correction: Amendments: Author Correction: A catalog of the mouse gut metagenome. L Xiao, Q Feng, S Liang, SB Sonne, Z Xia, X Qiu, X Li Nature Biotechnology 37 (1), 102-103, 2019 | | 2019 |
Hichem Miraoui, Andrew A. Dwyer, Gerasimos P. Sykiotis, 2, 3 Lacey Plummer, 2 Wilson Chung, 4 B Feng, A Beenken, J Clarke, TH Pers, P Dworzynski, K Keefe, ... | | |