Jan Krumsiek
Jan Krumsiek
Weill Cornell Medicine
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Zitiert von
Zitiert von
An atlas of genetic influences on human blood metabolites
SY Shin, EB Fauman, AK Petersen, J Krumsiek, R Santos, J Huang, ...
Nature genetics 46 (6), 543-550, 2014
Gepard: a rapid and sensitive tool for creating dotplots on genome scale
J Krumsiek, R Arnold, T Rattei
Bioinformatics 23 (8), 1026-1028, 2007
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
A Köttgen, E Albrecht, A Teumer, V Vitart, J Krumsiek, C Hundertmark, ...
Nature genetics 45 (2), 145-154, 2013
Discovery of sexual dimorphisms in metabolic and genetic biomarkers
K Mittelstrass, JS Ried, Z Yu, J Krumsiek, C Gieger, C Prehn, ...
PLoS genetics 7 (8), e1002215, 2011
The dynamic range of the human metabolome revealed by challenges
S Krug, G Kastenmüller, F Stückler, MJ Rist, T Skurk, M Sailer, J Raffler, ...
The FASEB Journal 26 (6), 2607-2619, 2012
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
J Krumsiek, K Suhre, T Illig, J Adamski, FJ Theis
BMC systems biology 5, 1-16, 2011
Statistical methods for the analysis of high-throughput metabolomics data
J Bartel, J Krumsiek, FJ Theis
Computational and structural biotechnology journal 4 (5), e201301009, 2013
Gender-specific pathway differences in the human serum metabolome
J Krumsiek, K Mittelstrass, KT Do, F Stückler, J Ried, J Adamski, A Peters, ...
Metabolomics 11, 1815-1833, 2015
Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
DM Wittmann, J Krumsiek, J Saez-Rodriguez, DA Lauffenburger, S Klamt, ...
BMC systems biology 3, 1-21, 2009
The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice
A Kindt, G Liebisch, T Clavel, D Haller, G Hörmannsperger, H Yoon, ...
Nature communications 9 (1), 3760, 2018
Mining the unknown: a systems approach to metabolite identification combining genetic and metabolic information
J Krumsiek, K Suhre, AM Evans, MW Mitchell, RP Mohney, MV Milburn, ...
Public Library of Science 8 (10), e1003005, 2012
Hierarchical differentiation of myeloid progenitors is encoded in the transcription factor network
J Krumsiek, C Marr, T Schroeder, FJ Theis
PloS one 6 (8), e22649, 2011
A metabolome-wide association study of kidney function and disease in the general population
P Sekula, ON Goek, L Quaye, C Barrios, AS Levey, W Römisch-Margl, ...
Journal of the American Society of Nephrology 27 (4), 1175-1188, 2016
Software tools for single-cell tracking and quantification of cellular and molecular properties
O Hilsenbeck, M Schwarzfischer, S Skylaki, B Schauberger, PS Hoppe, ...
Nature biotechnology 34 (7), 703-706, 2016
Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies
KT Do, S Wahl, J Raffler, S Molnos, M Laimighofer, J Adamski, K Suhre, ...
Metabolomics 14, 1-18, 2018
Intronic microRNAs support their host genes by mediating synergistic and antagonistic regulatory effects
D Lutter, C Marr, J Krumsiek, EW Lang, FJ Theis
BMC genomics 11, 1-11, 2010
Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes
C Winkler, J Krumsiek, F Buettner, C Angermüller, EZ Giannopoulou, ...
Diabetologia 57, 2521-2529, 2014
Multi-omics integration in biomedical research–A metabolomics-centric review
MA Wörheide, J Krumsiek, G Kastenmüller, M Arnold
Analytica chimica acta 1141, 144-162, 2021
Odefy-from discrete to continuous models
J Krumsiek, S Pölsterl, DM Wittmann, FJ Theis
BMC bioinformatics 11, 1-10, 2010
Intermuscular adipose tissue directly modulates skeletal muscle insulin sensitivity in humans
S Sachs, S Zarini, DE Kahn, KA Harrison, L Perreault, T Phang, ...
American Journal of Physiology-Endocrinology and Metabolism 316 (5), E866-E879, 2019
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