Michael Seifert
Michael Seifert
Group leader, IMB TU Dresden
Verified email at tu-dresden.de - Homepage
Cited by
Cited by
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ...
Nature methods 10 (3), 228-238, 2013
Toward the identification and regulation of the Arabidopsis thaliana ABI3 regulon
G Mönke, M Seifert, J Keilwagen, M Mohr, I Grosse, U Hähnel, A Junker, ...
Nucleic acids research 40 (17), 8240-8254, 2012
Elongation‐related functions of LEAFY COTYLEDON1 during the development of Arabidopsis thaliana
A Junker, G Mönke, T Rutten, J Keilwagen, M Seifert, TMN Thi, JP Renou, ...
The Plant Journal 71 (3), 427-442, 2012
Multi-omic measurements of heterogeneity in HeLa cells across laboratories
Y Liu, Y Mi, T Mueller, S Kreibich, EG Williams, A Van Drogen, C Borel, ...
Nature biotechnology 37 (3), 314, 2019
The biology and mathematical modelling of glioma invasion: a review
JCL Alfonso, K Talkenberger, M Seifert, B Klink, A Hawkins-Daarud, ...
Journal of The Royal Society Interface 14 (136), 20170490, 2017
Comprehensive molecular characterization of multifocal glioblastoma proves its monoclonal origin and reveals novel insights into clonal evolution and heterogeneity of glioblastomas
K Abou-El-Ardat, M Seifert, K Becker, S Eisenreich, M Lehmann, ...
Neuro-oncology 19 (4), 546-557, 2017
Additive inheritance of histone modifications in Arabidopsis thaliana intra‐specific hybrids
AMB Moghaddam, F Roudier, M Seifert, C Bérard, MLM Magniette, ...
The Plant Journal 67 (4), 691-700, 2011
Meiotic cohesin SMC1β provides prophase I centromeric cohesion and is required for multiple synapsis-associated functions
U Biswas, C Wetzker, J Lange, EG Christodoulou, M Seifert, A Beyer, ...
PLoS genetics 9 (12), e1003985, 2013
Comparative transcriptomics reveals similarities and differences between astrocytoma grades
M Seifert, M Garbe, B Friedrich, M Mittelbronn, B Klink
BMC cancer 15 (1), 952, 2015
Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana
M Seifert, A Gohr, M Strickert, I Grosse
PLoS computational biology 8 (1), e1002286, 2012
MeDIP-HMM: genome-wide identification of distinct DNA methylation states from high-density tiling arrays
M Seifert, S Cortijo, M Colomé-Tatché, F Johannes, F Roudier, V Colot
Bioinformatics 28 (22), 2930-2939, 2012
Adhesion-and stress-related adaptation of glioma radiochemoresistance is circumvented by β1 integrin/JNK co-targeting
A Vehlow, E Klapproth, K Storch, E Dickreuter, M Seifert, A Dietrich, ...
Oncotarget 8 (30), 49224, 2017
Autoregressive higher-order hidden Markov models: exploiting local chromosomal dependencies in the analysis of tumor expression profiles
M Seifert, K Abou-El-Ardat, B Friedrich, B Klink, A Deutsch
PloS one 9 (6), e100295, 2014
Network-based analysis of oligodendrogliomas predicts novel cancer gene candidates within the region of the 1p/19q co-deletion
J Gladitz, B Klink, M Seifert
Acta neuropathologica communications 6 (1), 49, 2018
Copy number variation in transcriptionally active regions of sexual and apomictic Boechera demonstrates independently derived apomictic lineages
OM Aliyu, M Seifert, JM Corral, J Fuchs, TF Sharbel
The Plant Cell 25 (10), 3808-3823, 2013
Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis
M Seifert, B Friedrich, A Beyer
Genome biology 17 (1), 204, 2016
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models
M Seifert, M Strickert, A Schliep, I Grosse
Bioinformatics 27 (12), 1645-1652, 2011
Targeted capture-based NGS is superior to multiplex PCR-based NGS for hereditary BRCA1 and BRCA2 gene analysis in FFPE tumor samples
F Zakrzewski, L Gieldon, A Rump, M Seifert, K Grützmann, A Krüger, ...
BMC cancer 19 (1), 396, 2019
Whole exome sequencing identifies mTOR and KEAP1 as potential targets for radiosensitization of HNSCC cells refractory to EGFR and β1 integrin inhibition
E Klapproth, D E, F Zakrzewski, M Seifert, A Petzold, A Dahl, E Schröck, ...
Oncotarget 9, 18099-18114, 2018
CellTrans: An R Package to Quantify Stochastic Cell State Transitions
T Buder, A Deutsch, M Seifert, A Voss-Böhme
Bioinformatics and Biology Insights 2017 (11), 0-0, 2017
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