John Wiedenhöft
John Wiedenhöft
Research Associate, Scientific Core Facility Medical Biometry and Statistical Bioinformatics
Geverifieerd e-mailadres voor med.uni-goettingen.de - Homepage
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Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics
GA Bravo, A Antonelli, CD Bacon, K Bartoszek, MPK Blom, S Huynh, ...
PeerJ 7, e6399, 2019
582019
The Global Museum: natural history collections and the future of evolutionary science and public education
FT Bakker, A Antonelli, JA Clarke, JA Cook, SV Edwards, PGP Ericson, ...
PeerJ 8, e8225, 2020
382020
The Global Museum: natural history collections and the future of evolutionary biology and public education
FT Bakker, A Antonelli, J Clarke, JA Cook, SV Edwards, PGP Ericson, ...
PeerJ Preprints, 2019
38*2019
From TER to trans‐and paracellular resistance: lessons from impedance spectroscopy
D Günzel, SS Zakrzewski, T Schmid, M Pangalos, J Wiedenhoeft, ...
Annals of the New York Academy of Sciences 1257 (1), 142-151, 2012
322012
Embracing heterogeneity: building the tree of life and the future of phylogenomics
GA Bravo, A Antonelli, CD Bacon, K Bartoszek, M Blom, S Huynh, ...
PeerJ Preprints 6, e26449v3, 2018
122018
Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics. PeerJ 7: e6399
GA Bravo, A Antonelli, CD Bacon, K Bartoszek, MP Blom, S Huynh, ...
82019
The plexus model for the inference of ancestral multidomain proteins
J Wiedenhoeft, R Krause, O Eulenstein
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 8 …, 2011
82011
Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment
N Judd, B Sauce, J Wiedenhoeft, J Tromp, B Chaarani, A Schliep, ...
Proceedings of the National Academy of Sciences 117 (22), 12411-12418, 2020
72020
Fast bayesian inference of copy number variants using hidden Markov models with wavelet compression
J Wiedenhoeft, E Brugel, A Schliep
PLoS computational biology 12 (5), e1004871, 2016
52016
Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees
MP Mahmud, J Wiedenhoeft, A Schliep
Bioinformatics 28 (18), i325-i332, 2012
42012
Inferring evolutionary scenarios for protein domain compositions
J Wiedenhoeft, R Krause, O Eulenstein
International Symposium on Bioinformatics Research and Applications, 179-190, 2010
42010
Dynamically compressed Bayesian hidden Markov models using Haar wavelets
J Wiedenhoeft
Rutgers University-School of Graduate Studies, 2018
22018
Cocos: Constructing multi-domain protein phylogenies
M Homilius, J Wiedenhoeft, S Thieme, C Standfuß, I Kel, R Krause
PLoS Currents 3, 2011
12011
Phylogenetic Reconstruction of Ancestral Multidomain Proteins
J Wiedenhoeft
Freie Universität Berlin Berlin, 2009
12009
Change by challenge: A common genetic basis behind childhood cognitive development and cognitive training
B Sauce, J Wiedenhoeft, N Judd, T Klingberg
npj Science of Learning 6 (1), 1-7, 2021
2021
Bayesian localization of CNV candidates in WGS data within minutes
J Wiedenhoeft, A Cagan, R Kozhemyakina, R Gulevich, A Schliep
Algorithms for Molecular Biology 14 (1), 1-16, 2019
2019
Polygenic scores for educational attainment in adults predict inter-individual differences in working memory among teenagers
B Sauce, N Judd, J Wiedenhoeft, J Tromp, S Ghomri, B Chaarani, ...
BEHAVIOR GENETICS 49 (6), 519-519, 2019
2019
Independent effects of socioeconomic status and genetics on adolescent cognition and brain development
N Judd, B Sauce, J Wiedenhoeft, J Tromp, B Chaarani, A Schliep, ...
bioRxiv, 866624, 2019
2019
Using HaMMLET for Bayesian Segmentation of WGS Read-Depth Data
J Wiedenhoeft, A Schliep
Copy Number Variants, 83-93, 2018
2018
HaMMLET-Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression
J Wiedenhoeft, E Brugel, A Schliep
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Artikelen 1–20