Jan Freudenthal
Jan Freudenthal
Center of Computational and Theoretical Biology
Verified email at uni-wuerzburg.de
Cited by
Cited by
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
GWAS-Flow: A GPU accelerated framework for efficient permutation based genome-wide association studies
JA Freudenthal, MJ Ankenbrand, DG Grimm, A Korte
BioRxiv, 783100, 2019
Theoretical calculations for highly selective Direct Heteroarylation Polymerization: new nitrile-substituted Dithienyl-Diketopyrrolopyrrole-based polymers
T Bura, S Beaupré, MA Légaré, OA Ibraikulov, N Leclerc, M Leclerc
Molecules 23 (9), 2324, 2018
The landscape of chloroplast genome assembly tools
JA Freudenthal, S Pfaff, N Terhoeven, A Korte, MJ Ankenbrand, F Förster
bioRxiv, 665869, 2020
Quantitative genetics from genome assemblies to neural network aided omics-based prediction of complex traits
JA Freudenthal
Phantom Epistasis in Genomic Selection: On the predictive ability of epistatic models
MF Schrauf, JWR Martini, H Simianer, G de Los Campos, R Cantet, ...
G3: Genes, Genomes, Genetics 10 (9), 3137-3145, 2020
Using local convolutional neural networks for genomic prediction
T Pook, J Freudenthal, A Korte, H Simianer
bioRxiv, 2020
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