High-throughput Genomics & Systems Biology
Publications
Alternative publication profile on google scholar here
Preprints
[46] S Karunanithi, M Simon, MH Schulz
Automated analysis of small RNA datasets with RAPID,
[preprint]
[45] D Gérard, F Schmidt, A Ginolhac, M Schmitz, R Halder, P Ebert, MH Schulz, T Sauter, L Sinkkonen
Temporal epigenomic profiling identifies AHR and GLIS1 as super-enhancer controlled regulators of mesenchymal multipotency,
[preprint]
2018
[44] DA Durai, MH Schulz
In-silico read normalization with set multicover optimization,
Bioinformatics, full text presented at Recomb-seq 2017
---->The ORNA software can be downloaded here.
[43] A Hornakova*, M List*, J Vreeken, MH Schulz
JAMI - Fast computation of Conditional Mutual Information for ceRNA network analysis
Bioinformatics, full text
---->The JAMI software can be accessed here.
[42] S Chakraborty, S Canzar , Marschall T‡, MH Schulz‡
Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data
Proceedings RECOMB 2018, in press
---->ChromaClique software can be accessed here.
[41] M Pirritano, U Götz, S Karunanithi, K Nordström, MH Schulz, M Simon
Environmental temperature controls accumulation of transacting siRNAs involved in heterochromatin formation
Genes, in press
[40] K Grosser, P Ramasamy, A Dehghani Amirabad, G Gasparoni, MH Schulz, M Simon, M Schrallhammer
More than the ‘killer trait’: infection with the bacterial endosymbiont Caedibacter taeniospiralis causes transcriptomic modulation in Paramecium host
Genome Biology and Evolution, in press
2017
[39] T Kehl, L Schneider, F Schmidt, D Stöckel, N Gerstner, C Backes,E Meese, A Keller, MH Schulz, HP Lenhof
RegulatorTrail: a web service for the identification of key transcriptional regulators.
Nucleic Acids Research (2017). full text
---->The RegulatorTrail webserver can be accessed here.
[38] CS Schultheiss, S Laggai, B Czepukojc, UK Hussein, M List, A Barghash, S Tierling, K Hosseini, N Golob-Schwarz, J Pokorny, N Hachenthal, MH Schulz, V Helms, J Walter, V Zimmer, F Lammert, RM Bohle, L Dandolo, J Haybaeck, AK Kiemer, SM Kessler
The long non-coding RNA H19 suppresses carcinogenesis and chemoresistance in hepatocellular carcinoma.
Cell Stress (2017) full text
[37] MH Schulz, Z Bar-Joseph
Probabilistic models for error correction of non-uniform sequencing data
Algorithms for Next-Generations Sequencing Data: Techniques, Approaches and Applications, Springer Book chapter, full text
[36] D Weese, MH Schulz, H Richard
DNA-Seq error correction based on substring indices
Algorithms for Next-Generations Sequencing Data: Techniques, Approaches and Applications, Springer Book chapter, full text
2016
[35] F Schmidt , N Gasparoni, G Gasparoni, K Gianmoena, C Cadenas,
JK Polansky, P Ebert, KJV Nordström, M Barann, A Sinha, S Fröhler, J Xiong,
A Dehghani Amirabad, F Behjati Ardakani, B Hutter, G Zipprich, B Felder, E Jürgen Eils, B Brors, W Chen, JG Hengstler, A Hamann, T Lengauer, P Rosenstiel, J Walter, MH Schulz
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction,
Nucleic Acids Research, 29 November 2016, full text
---->The TEPIC software can be downloaded here.
[34]
Durek P, Nordström KJV, Gasparoni G, Salhab A, Kressler C, de Almeida M, Bassler K, Ulas T, Schmidt F, Xiong J, Glažar P,
Klironomos F, Sinha A, Kinkley S, Yang X, Arrigoni L, Dehghani Amirabad A, Behjati Ardakani F , Feuerbach L, Gorka O, Ebert P,
Müller F, Li N, Frischbutter S, Schlickeiser S, Cendon C, Fröhler S, Felder B, Gasparoni N, Imbusch CD, Hutter B,
Zipprich G, Tauchmann Y, Reinke S, Wassilew G, Hoffmann U, Richter AS, Sieverling L; DEEP Consortium.,
Chang HD, Syrbe U, Kalus U, Eils J, Brors B, Manke T, Ruland J, Lengauer T, Rajewsky N, Chen W, Dong J,
Sawitzki B, Chung HR, Rosenstiel P, Schulz MH, Schultze JL, Radbruch A, Walter J, Hamann A, Polansky JK
Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development
Cell Immunity, Volume 45, Issue 5, 15 November 2016, full text
[33] HG Stunnenberg, The International Human Epigenome Consortium (including F Schmidt, M Schulz), Martin Hirst
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery
Cell, Volume 167, Issue 5, 17 November 2016, full text
---->all IHEC papers DEEP press release
[32] A Dehghani Amirabad, MH SchulzMultitask regression for condition-specific prioritization of miRNA targets in transcripts
Proceedings of the German Conference for Bioinformatics, 2016 [full text], presented at Recomb-CCB 2016 and ML for Health at UAI 2016
[31] D Durai, MH Schulz
Informed kmer selection for de novo transcriptome assembly
Bioinformatics, 32 (11): 1670-1677, 2016 [pdf]
---->The software can be downloaded here.
[30] U Götz*, S Marker*, M Cheaib*, K Andresen, S Shrestha, D Durai, KJV Nordström, MH Schulz, M Simon
Two sets of RNAi components are required for heterochromatin formation in
trans triggered by truncated transgenes
Nucleic Acids Research,44 (12): 5908-5923, 2016 [pdf]
[29] D Stöckel*, F Schmidt* , P Trampert, HP Lenhof
CausalTrail: Testing hypothesis using causal Bayesian networks
F1000Research 2015, 4(ISCB Comm J):1520 [full text]
2015
[28] X He*, AE Cicek*, Y Wang*, MH Schulz , HS Le, Z Bar-Joseph
De novo ChIP-seq Analysis
Genome Biology, 16:205 [full text]
[27] M Cheaib, A Dehghani Amirabad, KJV Nordström, MH Schulz, M Simon
Epigenetic regulation of serotype expression antagonizes transcriptome dynamics in Paramecium tetraurelia
DNA Research, Oxford Journals [full text]
[26] P Ebert, F Müller, K Nordström, T Lengauer, MH Schulz
A General Concept for Consistent Documentation of Computational Analyses
Database, Oxford Journals, 2015 Jun 8 [full text]
2014
[25] MH Schulz^,* ,D Weese*, M Holtgrewe*, V Dimitrova,S Niu, K Reinert, H Richard^,*
Fiona: a parallel and automatic strategy for read error correction
Bioinformatics 17 (30): i356-i363, ECCB 2014 proceedings [full text]
---->Easy to use error correction of genomic reads for indel-prone technologies. Software can be found here .
[24] MH Schulz
Letting the data speak for themselves: a fully Bayesian approach to transcriptome assembly
Genome Biology, 10 15: 498 [full text]
2013
[23] T Steijger, JF Abril, PG Engström, F Kokocinski, The RGASP Consortium (including MH Schulz), TJ Hubbard, R Guigó, J Harrow, P Bertone
Assessment of transcript reconstruction methods for RNA-seq
Nature Methods [full text]
[22] MH Schulz, KV Pandit, CL Lino Cardenas, N Ambalavanan, N Kaminski and Z Bar-Joseph
Reconstructing dynamic microRNA-regulated interaction networks
PNAS [full text]
---->On the PNAS cover with commentary by Uwe Ohler
[21] H Le*, MH Schulz*, BM MCcauley, V Hinman, and Z Bar-Joseph
Probabilistic error correction for RNA sequencing
Nucleic Acids Research [full text]
---->Download SEECER and improve your RNA-seq data!
2012
[20] MH Schulz*, WE Devanny*, A Gitter, S Zhong, J Ernst and Z Bar-Joseph
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data
BMC Systems Biology [full text]
---->Details about the new features of DREM 2.0. Check it out!
[19] S Bauer, S Köhler, MH Schulz and PN Robinson
Bayesian Ontology Querying for Accurate and Noise-Tolerant Semantic Searches
Bioinformatics [full text]
---->An improved method to query for diseases with phenotypes. Test BOQA!
[18] MH Schulz*,DR Zerbino*, M Vingron and E Birney
Oases: Robust de novo RNA-seq assembly across the dynamic range of expression levels
Bioinformatics 28 (8): 1086-1092 [full text]
---->Assemble your Transcriptome with Oases. Subscribe to the mailing list for regular updates. TOP3 most cited in Bioinformatics!
[17] J Göke, MH Schulz, J Lasserre and M Vingron
Estimation of Pairwise Sequence Similarity of Mammalian Enhancers with Word Neighbourhood Counts
Bioinformatics 28 (5): 656-663 [full text]
---->Fast alignment free similarity computation for DNA sequences with ALF
[16] AK Emde, MH Schulz, D Weese, R and Sun, M Vingron, VM Kalscheuer, SA Haas and K Reinert
Detecting genomic indel variants with exact breakpoints in single-and paired-end sequencing data using SplazerS
Bioinformatics 28 (5): 619-627. [full text]
----> Sensitive detection of structural variations from resequencing data with SplazerS
2011
[15] S Roepcke*, S Stahlberg*, H Klein, MH Schulz, L Theobald, S Gohlke, M Vingron and DJ Walther
A tandem sequence motif acts as a distance-dependent enhancer in a set of genes involved in translation by binding the proteins NonO and SFPQ
BMC Genomics, 12:624 [full text]
[14] MH Schulz, S Köhler, S Bauer and PN Robinson
Exact score distribution computation for ontological similarity searches
BMC Bioinformatics, 12:441 [full text]
---->Exact P-values improve similarity searches in ontologies. Maybe for your problem as well? Try here!
[13] P Huggins*, S Zhong*, I Shiff, R Beckerman, O Laptenko, C Prives, MH Schulz , I Simon
and
Z Bar-Joseph
DECOD: fast and accurate discriminative DNA motif finding
Bioinformatics, 27 (17):2361-67 [full text]
---->The software can be downloaded here.
2010
[12] C Rödelsperger, G Guo, M Kolanczyk, A Pletschacher, S Köhler,
S Bauer, MH Schulz, and
PN Robinson
Integrative analysis of genomic, functional and protein interaction data predicts long-range enhancer-target gene interactions
Nucleic Acids Research, 40 (7) [full text]
---->The first paper to predict enhancer-target associations with up to 2Mb distance to the enhancer
[11] H Richard*, MH Schulz*, M Sultan*, A Nürnberger, S Schrinner, D Balzereit, E Dagand, A Rasche, H Lehrach, M Vingron, SA Haas, and ML Yaspo
Prediction of alternative isoforms from exon expression levels in RNA-Seq experiments
Nucleic Acids Research, 38 (10):e112 [full text]
2009
[10] S Köhler, MH Schulz, P Krawitz, S Bauer, S Doelken,
CE Ott, C Mundlos, D Horn, S Mundlos and
PN Robinson
Clinical Diagnostics with Semantic Similarity Searches in Ontologies
The American Journal of Human Genetics, 85 (4):457-64 [full text]
---->Best paper selection IMIA Yearbook of Medical Informatics 2010
[9] MH Schulz, S Köhler, S Bauer, M Vingron and
PN Robinson
Exact Score Distribution Computation for Similarity Searches in Ontologies
Proceedings WABI 2009 , Springer LNCS, Volume 5724, 2009 [full text]
[8] C Rödelsperger, S Köhler, MH Schulz, T Manke,
S Bauer and PN Robinson
Short Ultraconserved Promoter Regions Delineate a Class of Ancient, Preferentially Expressed
Alternatively Spliced Transcripts
Genomics,94 (5):308-16 [full text]
[7] K Ye, MH Schulz, Q Long, R Apweiler and Z Ning
Pindel: a pattern growth approach to detect break points of large deletions and medium sized
insertions from paired-end short read data
Bioinformatics, 25 (21):2865-71
[full text]
---->Best paper award ISMB-SIG Next-Generation Sequencing 2009
2008
[6] M Sultan*, MH Schulz*, H Richard*, A Magen, A Klingenhoff, M Scherf, M Seifert, T Borodina, A Soldatov, D Parkhomchuk,
D Schmidt, S O'Keeffe, S Haas, M Vingron, H Lehrach and ML Yaspo (2008)
A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome
Science, 321 (5891):956-60
[full text]
----> Reported in Genome News and evaluated by Faculty of 1000
[5] MH Schulz, D Weese, T Rausch, A Döring, K Reinert and M Vingron
Fast and adaptive variable order Markov chain construction
Proceedings WABI 2008, Springer LNCS, Volume 5251 [full text]
---->Check out the PISA software
[4] D Weese and MH Schulz
Efficient string mining under constraints via the deferred frequency index
Industrial Conference for Data Mining (ICDM 2008), LNAI 5077, pp. 374-388
[full text]
---->Check out the DFI software
[3] W Chen, V Kalscheu, A Tzschach, C Menzel, R Ullmann, MH Schulz, F Erdogan, N Li,
Z Kijas, G Arkesteijn, IL Pajares, M Goetz-Sothmann, U Heinrich, I Rost,
A Dufke, U Grasshoff, BG Glaeser, M Vingron and HH Ropers
Mapping translocation breakpoints by next-generation sequencing
Genome Research 18: 1143-1149
[full text]
[2] G Guo, S Bauer, J Hecht, MH Schulz, A Busche and PN Robinson (2008)
A short ultraconserved sequence drives transcription from an alternate FBN1 promoter
The International Journal of Biochemistry & Cell Biology, 40(4):638-50
[full text]
[1] MH Schulz*, S Bauer* and PN Robinson (2008)
The generalised k-Truncated Suffix Tree for time- and space-
efficient searches in multiple DNA or protein sequences
International Journal of Bioinformatics Research and Applications, 4(1):81-95
[full text]
---->Software maintained by the Robinson Lab
*shared first authorship