Sebastian J. Schultheiss

发表

Multiple reference genomes and transcriptomes for Arabidopsis thaliana

Vipin T. Sreedharan, Richard M. Clark, Gunnar Rätsch, 2011, Nature.

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

D. Grimm, Richa Bharti, Sebastian J. Schultheiss, 2020, Plant Methods.

Approaches taken, progress made, and enhanced utility of long read-based goat, swine, cattle and sheep reference genomes

Timothy P. L. Smith, S. Koren, A. Phillippy, 2016 .

Hormonal control of the shoot stem-cell niche

Stig U. Andersen, Jan U. Lohmann, Karin Ljung, 2010, Nature.

Persistence and Availability of Web Services in Computational Biology

Gunnar Rätsch, G. Rätsch, Sebastian J. Schultheiss, 2011, PloS one.

Highlights from the Fifth International Society for Computational Biology ( ISCB ) Student Council Symposium

G. Rätsch, O. Kohlbacher, J. Lohmann, 2009 .

De novo assembly of the cattle reference genome with single-molecule sequencing

Steven G. Schroeder, Timothy P. L. Smith, S. Koren, 2020, GigaScience.

Modernizing the Bovine Reference Genome Assembly

Timothy P. L. Smith, S. Koren, C. Elsik, 2018 .

Highlights from the Ninth International Society for Computational Biology ( ISCB ) Student Council Symposium 2013

Pramod Kaushik Mudrakarta, Nico Görnitz, G. Zeller, 2014 .

MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant whole-genome bisulfite sequencing data

Claude Becker, D. Weigel, David Langenberger, 2022, Quantitative Plant Biology.

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

D. Grimm, Sebastian J. Schultheiss, Rupashree Dass, 2022, Frontiers in Plant Science.

KIRMES: kernel-based identification of regulatory modules in euchromatic sequences

Gunnar Rätsch, Oliver Kohlbacher, Wolfgang Busch, 2009, Bioinformatics.

Transcriptional control of a plant stem cell niche.

F. Ariel, J. Lohmann, W. Busch, 2010, Developmental cell.

Kernel-based identification of regulatory modules.

Sebastian J Schultheiss, Sebastian J. Schultheiss, 2010, Methods in molecular biology.

MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant WGBS data

D. Weigel, J. Hagmann, David Langenberger, 2022, bioRxiv.

Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis

Gunnar Rätsch, André Kahles, Georg Zeller, 2014, Bioinform..

Ten Simple Rules for Providing a Scientific Web Resource

Sebastian J. Schultheiß, Sebastian J. Schultheiss, 2011, PLoS Comput. Biol..

KIRMES: kernel-based identification of regulatory modules in euchromatic sequences

Gunnar Rätsch, Oliver Kohlbacher, Wolfgang Busch, 2009, BMC Bioinformatics.

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

D. Grimm, Richa Bharti, Sebastian J. Schultheiss, 2020, Plant Methods.

Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data

Gunnar Rätsch, André Kahles, Georg Zeller, 2011, BMC Bioinformatics.