Sebastian J. Schultheiss
Sebastian J. Schultheiss
computomics.com
Verified email at computomics.com - Homepage
Title
Cited by
Cited by
Year
Multiple reference genomes and transcriptomes for Arabidopsis thaliana
X Gan, O Stegle, J Behr, JG Steffen, P Drewe, KL Hildebrand, R Lyngsoe, ...
Nature 477 (7365), 419-423, 2011
6452011
Hormonal control of the shoot stem-cell niche
Z Zhao, SU Andersen, K Ljung, K Dolezal, A Miotk, SJ Schultheiss, ...
Nature 465 (7301), 1089-1092, 2010
4282010
Transcriptional control of a plant stem cell niche
W Busch, A Miotk, FD Ariel, Z Zhao, J Forner, G Daum, T Suzaki, ...
Developmental cell 18 (5), 841-853, 2010
1922010
De novo assembly of the cattle reference genome with single-molecule sequencing
BD Rosen, DM Bickhart, RD Schnabel, S Koren, CG Elsik, E Tseng, ...
Gigascience 9 (3), giaa021, 2020
922020
KIRMES: kernel-based identification of regulatory modules in euchromatic sequences
SJ Schultheiss, W Busch, JU Lohmann, O Kohlbacher, G Rätsch
Bioinformatics 25 (16), 2126-2133, 2009
362009
KIRMES: kernel-based identification of regulatory modules in euchromatic sequences
S Schultheiss, W Busch, J Lohmann, O Kohlbacher, G Rätsch
BMC Bioinformatics 10 (Suppl 13), O1, 2009
362009
Persistence and availability of web services in computational biology
SJ Schultheiss, MC Münch, GD Andreeva, G Rätsch
PloS one 6 (9), e24914, 2011
302011
Modernizing the bovine reference genome assembly
BD Rosen, DM Bickhart, RD Schnabel, S Koren, CG Elsik, A Zimin, ...
Proc. World Congr. Genet. Appl. Livest. Prod., Vol. Mol. Genet 3, 802, 2018
292018
Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
VT Sreedharan, SJ Schultheiss, G Jean, A Kahles, R Bohnert, P Drewe, ...
Bioinformatics 30 (9), 1300-1301, 2014
142014
Ten simple rules for providing a scientific web resource
SJ Schultheiss
PLoS Computational Biology 7 (5), e1001126, 2011
112011
Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data
SJ Schultheiss, G Jean, J Behr, R Bohnert, P Drewe, N Görnitz, A Kahles, ...
BMC Bioinformatics 12 (11), 1-2, 2011
62011
Kernel-based identification of regulatory modules
SJ Schultheiss
Computational Biology of Transcription Factor Binding, 213-223, 2010
52010
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), 1-11, 2020
32020
Approaches taken, progress made, and enhanced utility of long read-based goat, swine, cattle and sheep reference genomes
TPL Smith, S Koren, A Phillippy, DM Bickhart, BD Rosen, KC Worley, ...
Plant and Animal Genome XXIV, 2016
32016
Learn from the Best
V Bernard, SJ Schultheiss, M Michaut
PLoS computational biology 10 (5), e1003645, 2014
22014
Crowd-sourcing design: Sketch minimization using crowds for feedback
D Engel, V Kottler, C Malisi, M Roettig, EM Willing, S Schultheiss
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
12012
Optimizing minimal sketches of visual object categories
D Engel, VA Kottler, CU Malisi, M Röttig, SJ Schultheiss, EM Willing, ...
Pion Ltd., 2010
12010
The Power of Machine Learning-Based Genomic Prediction in Hybrid Breeding
M Froeschl, B Geigle, AS Sowa, J Hagmann, SJ Schultheiss
Plant and Animal Genome XXVII Conference (January 12-16, 2019), 2019
2019
The Power of Next-Generation Sequencing in Rapidly Identifying (EPI) Genetic Causal Mutations
J Hagmann, S Schultheiss
2018
Oqtans: a Galaxy-integrated Workflow for Quantitative Transcriptome Analysis from NGS Data: From Seventh International Society for Computational Biology (ISCB) Student Council …
SJ Schultheiss
Technische Universität Berlin, 2015
2015
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Articles 1–20