Prof. Dr. Armin Schmitt

 
Staff Status
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  • 2023 Journal Article | 
    ​ ​Improving genomic prediction of rhizomania resistance in sugar beet (Beta vulgaris L.) by implementing epistatic effects and feature selection​
    Lange, T. M.; Heinrich, F.; Kopisch-Obuch, F.; Keunecke, H.; Gültas, M. & Schmitt, A. ​ (2023) 
    F1000Research12 pp. 280​.​ DOI: https://doi.org/10.12688/f1000research.131134.1 
    Details  DOI 
  • 2023 Journal Article | 
    ​ ​Identification of Differentially Expressed Genes after Endurance Runs in Karbadian Horses to Determine Candidates for Stress Indicators and Performance Capability​
    Reißmann, M.; Rajavel, A.; Kokov, Z. A. & Schmitt, A. ​ (2023) 
    Genes (Basel)14(11) pp. 1982​.​ DOI: https://doi.org/10.3390/genes14111982 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​agReg-SNPdb-Plants: A Database of Regulatory SNPs for Agricultural Plant Species​
    Klees, S.; Heinrich, F.; Schmitt, A. O.   & Gültas, M.​ (2022) 
    Biology11(5).​ DOI: https://doi.org/10.3390/biology11050684 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Comparative Investigation of Gene Regulatory Processes Underlying Avian Influenza Viruses in Chicken and Duck​
    Klees, S.; Schlüter, J.-S.; Schellhorn, J. ; Bertram, H.; Kurzweg, A. C.; Ramzan, F. & Schmitt, A. O.  et al.​ (2022) 
    Biology11(2) art. 219​.​ DOI: https://doi.org/10.3390/biology11020219 
    Details  DOI 
  • 2022 Journal Article | 
    ​ ​Non-linear transformation of enzyme-linked immunosorbent assay (ELISA) measurements allows usage of linear models for data analysis​
    Lange, T. M.; Rotärmel, M.; Müller, D.; Mahone, G. S.; Kopisch-Obuch, F.; Keunecke, H. & Schmitt, A. O. ​ (2022) 
    Virology Journal19(1) art. 85​.​ DOI: https://doi.org/10.1186/s12985-022-01804-3 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms​
    Haleem, A.; Klees, S.; Schmitt, A. O.   & Gültas, M.​ (2022) 
    International Journal of Molecular Sciences23(9) pp. 5121​.​ DOI: https://doi.org/10.3390/ijms23095121 
    Details  DOI 
  • 2022 Journal Article | Research Paper | 
    ​ ​Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset​
    Rajavel, A.; Klees, S.; Hui, Y.; Schmitt, A. O.   & Gültas, M.​ (2022) 
    Biology11(5) pp. 742​.​ DOI: https://doi.org/10.3390/biology11050742 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​Identification and Functional Annotation of Genes Related to Bone Stability in Laying Hens Using Random Forests​
    Jansen, S.; Baulain, U.; Habig, C.; Ramzan, F.; Schauer, J.; Schmitt, A. O.   & Scholz, A. M. et al.​ (2021) 
    Genes12(5).​ DOI: https://doi.org/10.3390/genes12050702 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Microeukaryotic Communities on the Fruit of Gardenia thunbergia Thunb. with a Focus on Pathogenic Fungi​
    Steudel, B.; Baijnath, H.; Schwedt, T. & Schmitt, A. O. ​ (2021) 
    Pathogens10(5).​ DOI: https://doi.org/10.3390/pathogens10050555 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes​
    Heinrich, F.; Ramzan, F.; Rajavel, A.; Schmitt, A. O.   & Gültas, M.​ (2021) 
    Biology10(9) pp. 921​.​ DOI: https://doi.org/10.3390/biology10090921 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​In Silico Prediction of Transcription Factor Collaborations Underlying Phenotypic Sexual Dimorphism in Zebrafish (Danio rerio)​
    Hosseini, S. ; Schmitt, A. O. ; Tetens, J. ; Brenig, B. ; Simianer, H. ; Sharifi, A. R.   & Gültas, M.​ (2021) 
    Genes12(6) pp. 873​.​ DOI: https://doi.org/10.3390/genes12060873 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Decision Strategies for Absorbance Readings from an Enzyme-Linked Immunosorbent Assay—A Case Study about Testing Genotypes of Sugar Beet (Beta vulgaris L.) for Resistance against Beet Necrotic Yellow Vein Virus (BNYVV)​
    Lange, T. M.; Wutke, M.; Bertram, L.; Keunecke, H.; Kopisch-Obuch, F. & Schmitt, A. O. ​ (2021) 
    Agriculture11(10) pp. 956​.​ DOI: https://doi.org/10.3390/agriculture11100956 
    Details  DOI 
  • 2021 Journal Article | 
    ​ ​agReg-SNPdb: A Database of Regulatory SNPs for Agricultural Animal Species​
    Klees, S.; Heinrich, F.; Schmitt, A. O.   & Gültas, M.​ (2021) 
    Biology10(8) pp. 790​.​ DOI: https://doi.org/10.3390/biology10080790 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​In Silico Identification of the Complex Interplay between Regulatory SNPs, Transcription Factors, and Their Related Genes in Brassica napus L. Using Multi-Omics Data​
    Klees, S.; Lange, T. M.; Bertram, H.; Rajavel, A.; Schlüter, J.-S.; Lu, K. & Schmitt, A. O.  et al.​ (2021) 
    International Journal of Molecular Sciences22(2) art. 789​.​ DOI: https://doi.org/10.3390/ijms22020789 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Unravelling the Complex Interplay of Transcription Factors Orchestrating Seed Oil Content in Brassica napus L.​
    Rajavel, A.; Klees, S.; Schlüter, J.-S.; Bertram, H.; Lu, K.; Schmitt, A. O.   & Gültas, M.​ (2021) 
    International Journal of Molecular Sciences22(3) pp. 1033​.​ DOI: https://doi.org/10.3390/ijms22031033 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle​
    Rajavel, A.; Schmitt, A. O.   & Gültas, M.​ (2021) 
    International Journal of Molecular Sciences22(2) pp. 562​.​ DOI: https://doi.org/10.3390/ijms22020562 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Detecting Animal Contacts—A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts​
    Wutke, M.; Heinrich, F.; Das, P. P.; Lange, A.; Gentz, M.; Traulsen, I.   & Warns, F. K. et al.​ (2021) 
    Sensors21(22) art. 7512​.​ DOI: https://doi.org/10.3390/s21227512 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​The Effect of Algae or Insect Supplementation as Alternative Protein Sources on the Volatile Profile of Chicken Meat​
    Gkarane, V.; Ciulu, M. ; Altmann, B. A. ; Schmitt, A. O.   & Mörlein, D. ​ (2020) 
    Foods9(9) pp. 1235​.​ DOI: https://doi.org/10.3390/foods9091235 
    Details  DOI  PMID  PMC 
  • 2020 Journal Article
    ​ ​Feasibility and effectiveness of aerobic exercise training interventions in schizophrenia​
    Keller-Varady, K.; Hasan, A.; Schneider-Axmann, T.; Hillmer-Vogel, U.; Adomßent, B.; Wobrock, T.   & Schmitt, A.  et al.​ (2020) 
    European Psychiatry33(S1) pp. S41​-S42​.​ DOI: https://doi.org/10.1016/j.eurpsy.2016.01.891 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Identifying Cattle Breed-Specific Partner Choice of Transcription Factors during the African Trypanosomiasis Disease Progression Using Bioinformatics Analysis​
    Rajavel, A.; Heinrich, F.; Schmitt, A. O.   & Gültas, M.​ (2020) 
    Vaccines8(2) pp. 246​.​ DOI: https://doi.org/10.3390/vaccines8020246 
    Details  DOI 
  • 2020 Journal Article | Erratum | 
    ​ ​Correction: Ramzan F. et al. “Combining Random Forests and a Signal Detection Method Leads to the Robust Detection of Genotype-Phenotype Associations” Genes, 2020, 11, 892​
    Ramzan, F.; Gültas, M.; Bertram, H.; Cavero, D. & Schmitt, A. O. ​ (2020) 
    Genes11(10) pp. 1199​.​ DOI: https://doi.org/10.3390/genes11101199 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests​
    Ramzan, F.; Klees, S.; Schmitt, A. O. ; Cavero, D. & Gültas, M.​ (2020) 
    Genes11(4) pp. 464​.​ DOI: https://doi.org/10.3390/genes11040464 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​In silico quality assessment of SNPs—A case study on the Axiom® Wheat genotyping arrays​
    Lange, T. M.; Heinrich, F.; Enders, M.; Wolf, M. & Schmitt, A. O. ​ (2020) 
    Current Plant Biology21 pp. 100140​.​ DOI: https://doi.org/10.1016/j.cpb.2020.100140 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Animal Welfare Assessment of Fattening Pigs: A Case Study on Sample Validity​
    Pfeifer, M.; Schmitt, A. O.   & Hessel, E. F.​ (2020) 
    Animals10(3) pp. 389​.​ DOI: https://doi.org/10.3390/ani10030389 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Combining Random Forests and a Signal Detection Method Leads to the Robust Detection of Genotype-Phenotype Associations​
    Ramzan, F.; Gültas, M.; Bertram, H.; Cavero, D. & Schmitt, A. O. ​ (2020) 
    Genes11(8) pp. 892​.​ DOI: https://doi.org/10.3390/genes11080892 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Identification of Regulatory SNPs Associated with Vicine and Convicine Content of Vicia faba Based on Genotyping by Sequencing Data Using Deep Learning​
    Heinrich, F.; Wutke, M.; Das, P. P.; Kamp, M.; Gültas, M.; Link, W.   & Schmitt, A. O. ​ (2020) 
    Genes11(6) pp. 614​.​ DOI: https://doi.org/10.3390/genes11060614 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​An Innovative Concept for a Multivariate Plausibility Assessment of Simultaneously Recorded Data​
    Mensching, A.; Zschiesche, M.; Hummel, J. ; Schmitt, A. O. ; Grelet, C. & Sharifi, A. R. ​ (2020) 
    Animals10(8) pp. 1412​.​ DOI: https://doi.org/10.3390/ani10081412 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Acceptance and Feasibility of a Guideline for the Animal Welfare Assessment of Fattening Pigs from Farmers’ Point of View​
    Pfeifer, M.; Koch, A.; Lensches, C.; Schmitt, A. O.   & Hessel, E. F. ​ (2020) 
    Animals10(4) pp. 711​.​ DOI: https://doi.org/10.3390/ani10040711 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Breeding objectives and selection criteria for four strains of Pakistani Beetal goats identified in a participatory approach​
    Ramzan, F.; Khan, M. S.; Bhatti, S. A.; Gültas, M. & Schmitt, A. O. ​ (2020) 
    Small Ruminant Research190 pp. 106163​.​ DOI: https://doi.org/10.1016/j.smallrumres.2020.106163 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Genetic diversity and population structure of six ethiopian cattle breeds from different geographical regions using high density single nucleotide polymorphisms​
    Meseret, S.; Mekonnen, Y. A.; Brenig, B. ; Schütz, E. ; Hanotte, O.; Gültas, M. & Schmitt, A. O. ​ (2020) 
    Livestock Science234 pp. 103979​.​ DOI: https://doi.org/10.1016/j.livsci.2020.103979 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Genotyping by Sequencing Reads of 20 Vicia faba Lines with High and Low Vicine and Convicine Content​
    Heinrich, F.; Gültas, M.; Link, W. & Schmitt, A. O. ​ (2020) 
    Data5(3) art. 63​.​ DOI: https://doi.org/10.3390/data5030063 10.37473/dac/10.3390/data5030063 
    Details  DOI; DOI 
  • 2020 Journal Article | 
    ​ ​Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks​
    Wutke, M.; Traulsen, I. ; Gültas, M. & Schmitt, A. O. ​ (2020) 
    AgriEngineering2(4) pp. 581​-595​.​ DOI: https://doi.org/10.3390/agriengineering2040039 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Modulation of cognition and neuronal plasticity in gain- and loss-of-function mouse models of the schizophrenia risk gene Tcf4​
    Badowska, D. M.; Brzózka, M. M.; Kannaiyan, N.; Thomas, C. ; Dibaj, P. ; Chowdhury, A.   & Steffens, H.  et al.​ (2020) 
    Translational Psychiatry10(1).​ DOI: https://doi.org/10.1038/s41398-020-01026-7 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Modeling reticular and ventral ruminal pH of lactating dairy cows using ingestion and rumination behavior​
    Mensching, A.; Bünemann, K.; Meyer, U.; von Soosten, D.; Hummel, J. ; Schmitt, A. O.   & Sharifi, A. R.  et al.​ (2020) 
    Journal of Dairy Science103(8) pp. 7260​-7275​.​ DOI: https://doi.org/10.3168/jds.2020-18195 
    Details  DOI 
  • 2020 Journal Article | 
    ​ ​Survey data to identify the selection criteria used by breeders of four strains of Pakistani beetal goats​
    Ramzan, F.; Khan, M. S.; Bhatti, S. A.; Gültas, M. & Schmitt, A. O. ​ (2020) 
    Data in Brief32 art. 106051​.​ DOI: https://doi.org/10.1016/j.dib.2020.106051 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Identification of Candidate Signature Genes and Key Regulators Associated With Trypanotolerance in the Sheko Breed​
    Mekonnen, Y. A.; Gültas, M.; Effa, K.; Hanotte, O. & Schmitt, A. O. ​ (2019) 
    Frontiers in Genetics10.​ DOI: https://doi.org/10.3389/fgene.2019.01095 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Inter- and intra-observer reliability of animal welfare indicators for the on-farm self-assessment of fattening pigs​
    Pfeifer, M.; Eggemann, L.; Kransmann, J.; Schmitt, A. O.   & Hessel, E. F. ​ (2019) 
    animal13(8) pp. 1712​-1720​.​ DOI: https://doi.org/10.1017/S1751731118003701 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues​
    Steuernagel, L.; Meckbach, C. ; Heinrich, F.; Zeidler, S. ; Schmitt, A. O.   & Gültas, M.​ (2019) 
    PLOS ONE14(5) art. e0216475​.​ DOI: https://doi.org/10.1371/journal.pone.0216475 
    Details  DOI  PMID  PMC 
  • 2019 Journal Article | 
    ​ ​The SYNBREED chicken diversity panel: a global resource to assess chicken diversity at high genomic resolution​
    Malomane, D. K.; Simianer, H. ; Weigend, A.; Reimer, C.; Schmitt, A. O.   & Weigend, S.​ (2019) 
    BMC Genomics20(1) art. 345​.​ DOI: https://doi.org/10.1186/s12864-019-5727-9 
    Details  DOI  PMID  PMC 
  • 2018 Lecture
    ​ ​Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database​
    Wiese, L. ; Wangmo, C.; Steuernagel, L.; Schmitt, A. O.  & Gültas, M.​ (2018)
    Data Integration in the Life Sciences (DILS2018); 2018​, Hannover. DOI: https://doi.org/10.5446/38888 
    Details  DOI 
  • 2017 Journal Article | Research Paper | 
    ​ ​Multi-Approach Analysis for the Identification of Proteases within Birch Pollen​
    McKenna, O. E.; Posselt, G.; Briza, P.; Lackner, P.; Schmitt, A. O. ; Gadermaier, G. & Wessler, S. et al.​ (2017) 
    International Journal of Molecular Sciences18(7) pp. 1433​.​ DOI: https://doi.org/10.3390/ijms18071433 
    Details  DOI 
  • 2017 Journal Article | 
    ​ ​Conservation of Erwinia amylovora pathogenicity-relevant genes among Erwinia genomes​
    Borruso, L.; Salomone-Stagni, M.; Polsinelli, I.; Schmitt, A. O.   & Benini, S.​ (2017) 
    Archives of Microbiology,.​ DOI: https://doi.org/10.1007/s00203-017-1409-7 
    Details  DOI  PMID  PMC 
  • 2017 Journal Article | 
    ​ ​The crystal structure of Erwinia amylovora AmyR, a member of the YbjN protein family, shows similarity to type III secretion chaperones but suggests different cellular functions​
    Bartho, J. D.; Bellini, D.; Wuerges, J.; Demitri, N.; Toccafondi, M.; Schmitt, A. O.   & Zhao, Y. et al.​ (2017) 
    PLoS ONE12(4) art. e0176049​.​ DOI: https://doi.org/10.1371/journal.pone.0176049 
    Details  DOI  PMID  PMC  WoS 
  • 2017 Journal Article | Research Paper | 
    ​ ​Identification of Proteases and Protease Inhibitors in Allergenic and Non-Allergenic Pollen​
    Hoellbacher, B.; Schmitt, A. O. ; Hofer, H.; Ferreira, F. & Lackner, P.​ (2017) 
    International Journal of Molecular Sciences18(6) art. 1199​.​ DOI: https://doi.org/10.3390/ijms18061199 
    Details  DOI  WoS 
  • 2016 Journal Article
    ​ ​Untangling the effects of root age and tissue nitrogen on root respiration in Populus tremuloides at different nitrogen supply​
    Ceccon, C.; Tagliavini, M.; Schmitt, A. O.   & Eissenstat, D. M.​ (2016) 
    Tree Physiology36(5) pp. 618​-627​.​ DOI: https://doi.org/10.1093/treephys/tpw022 
    Details  DOI 
  • 2016 Journal Article
    ​ ​The response of sub-Mediterranean grasslands to rainfall variation is influenced by early season precipitation​
    Chelli, S.; Canullo, R.; Campetella, G.; Schmitt, A. O. ; Bartha, S.; Cervellini, M. & Wellstein, C.​ (2016) 
    Applied Vegetation Science19(4) pp. 611​-619​.​ DOI: https://doi.org/10.1111/avsc.12247 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Variation of agronomic and qualitative traits and local adaptation of mountain landraces of winter rye (Secale cereale L.) from Val Venosta/Vinschgau (South Tyrol)​
    Peratoner, G.; Seling, S.; Klotz, C.; Florian, C.; Figl, U. & Schmitt, A. O. ​ (2015) 
    Genetic Resources and Crop Evolution63(2) pp. 261​-273​.​ DOI: https://doi.org/10.1007/s10722-015-0245-3 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Influence of agricultural residues interpretation and allocation procedures on the environmental performance of bioelectricity production – A case study on woodchips from apple orchards​
    Boschiero, M.; Kelderer, M.; Schmitt, A. O. ; Andreotti, C. & Zerbe, S.​ (2015) 
    Applied Energy147 pp. 235​-245​.​ DOI: https://doi.org/10.1016/j.apenergy.2015.01.109 
    Details  DOI 
  • 2014 Journal Article
    ​ ​A Comparison of the Functional Traits of Common Reed (Phragmites australis) in Northern China: Aquatic vs. Terrestrial Ecotypes​
    Li, L.; Han, W.; Thevs, N.; Jia, X.; Ji, C.; Jin, D. & He, P. et al.​ (2014) 
    PLoS One9(2) pp. e89063​.​ DOI: https://doi.org/10.1371/journal.pone.0089063 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Genomewide study and validation of markers associated with production traits in German Landrace boars1​
    Strucken, E. M.; Schmitt, A. O. ; Bergfeld, U.; Jurke, I.; Reissmann, M. & Brockmann, G. A.​ (2014) 
    Journal of Animal Science92(5) pp. 1939​-1944​.​ DOI: https://doi.org/10.2527/jas.2013-7247 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Nitrogen and phosphorus stoichiometry of common reed (Phragmites australis) and its relationship to nutrient availability in northern China​
    Li, L.; Zerbe, S.; Han, W.; Thevs, N.; Li, W.; He, P. & Schmitt, A. O.  et al.​ (2014) 
    Aquatic Botany112 pp. 84​-90​.​ DOI: https://doi.org/10.1016/j.aquabot.2013.08.002 
    Details  DOI 
  • 2013 Journal Article | 
    ​ ​Effect of the myostatin locus on muscle mass and intramuscular fat content in a cross between mouse lines selected for hypermuscularity​
    Kärst, S.; Strucken, E. M.; Schmitt, A. O. ; Weyrich, A.; de Villena, F. P. M.; Yang, H. & Brockmann, G. A.​ (2013) 
    BMC Genomics14(1).​ DOI: https://doi.org/10.1186/1471-2164-14-16 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Equivalent Indels – Ambiguous Functional Classes and Redundancy in Databases​
    Assmus, J.; Kleffe, J.; Schmitt, A. O.   & Brockmann, G. A.​ (2013) 
    PLoS One8(5) pp. e62803​.​ DOI: https://doi.org/10.1371/journal.pone.0062803 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Relationship between hair fatty acid profile, reproduction, and milk performance in Holstein Friesian cows​
    Moeller, R.; Nuernberg, K.; Schmitt, A. O.   & Brockmann, G. A.​ (2013) 
    Journal of Animal Science91(4) pp. 1669​-1676​.​ DOI: https://doi.org/10.2527/jas.2012-5660 
    Details  DOI 
  • 2012 Journal Article
    ​ ​Growth of influenza A virus is not impeded by simultaneous removal of the cholesterol-binding and acylation sites in the M2 protein​
    Thaa, B.; Tielesch, C.; Möller, L.; Schmitt, A. O. ; Wolff, T.; Bannert, N. & Herrmann, A. et al.​ (2012) 
    Journal of General Virology93(2) pp. 282​-292​.​ DOI: https://doi.org/10.1099/vir.0.038554-0 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Where in the Genome Are Significant Single Nucleotide Polymorphisms from Genome-Wide Association Studies Located?​
    Günther, T.; Schmitt, A. O. ; Bortfeldt, R. H.; Hinney, A.; Hebebrand, J. & Brockmann, G. A.​ (2011) 
    OMICS15(7-8) pp. 507​-512​.​ DOI: https://doi.org/10.1089/omi.2010.0154 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass​
    Kärst, S.; Cheng, R.; Schmitt, A. O. ; Yang, H.; de Villena, F. P. M.; Palmer, A. A. & Brockmann, G. A.​ (2011) 
    Mammalian Genome22(9-10) pp. 530​-543​.​ DOI: https://doi.org/10.1007/s00335-011-9342-6 
    Details  DOI 
  • 2010 Journal Article
    ​ ​A unique genetic defect on chromosome 3 is responsible for juvenile obesity in the Berlin Fat Mouse​
    Neuschl, C.; Hantschel, C.; Wagener, A.; Schmitt, A. O. ; Illig, T. & Brockmann, G. A.​ (2010) 
    International Journal of Obesity34(12) pp. 1706​-1714​.​ DOI: https://doi.org/10.1038/ijo.2010.97 
    Details  DOI 
  • 2010 Journal Article
    ​ ​CandiSNPer: a web tool for the identification of candidate SNPs for causal variants​
    Schmitt, A. O. ; Assmus, J.; Bortfeldt, R. H. & Brockmann, G. A.​ (2010) 
    Bioinformatics26(7) pp. 969​-970​.​ DOI: https://doi.org/10.1093/bioinformatics/btq068 
    Details  DOI 
  • 2010 Journal Article | 
    ​ ​Genetic and diet effects on Ppar-α and Ppar-γ signaling pathways in the Berlin Fat Mouse Inbred line with genetic predisposition for obesity​
    Wagener, A.; Goessling, H. F.; Schmitt, A. O. ; Mauel, S.; Gruber, A. D.; Reinhardt, R. & Brockmann, G. A.​ (2010) 
    Lipids in Health and Disease9(1).​ DOI: https://doi.org/10.1186/1476-511X-9-99 
    Details  DOI 
  • 2010 Journal Article | 
    ​ ​Tracking chromosomal positions of oligomers - a case study with Illumina's BovineSNP50 beadchip​
    Schmitt, A. O. ; Bortfeldt, R. H. & Brockmann, G. A.​ (2010) 
    BMC Genomics11(1).​ DOI: https://doi.org/10.1186/1471-2164-11-80 
    Details  DOI 
  • 2009 Journal Article
    ​ ​RandoMate: a program for the generation of random mating schemes for small laboratory animals​
    Schmitt, A. O. ; Bortfeldt, R.; Neuschl, C. & Brockmann, G. A.​ (2009) 
    Mammalian Genome20(5) pp. 321​-325​.​ DOI: https://doi.org/10.1007/s00335-009-9185-6 
    Details  DOI 
  • 2008 Journal Article
    ​ ​Piggybacking schistosome invasion: similarities are only skin deep​
    Pleass, R. J.; Aboobaker, A. A. & Schmitt, A. O. ​ (2008) 
    Trends in Parasitology24(4) pp. 153​-156​.​ DOI: https://doi.org/10.1016/j.pt.2008.01.003 
    Details  DOI 
  • 2007 Journal Article
    ​ ​Fine Mapping of Mouse QTLs for Fatness Using SNP Data​
    Schmitt, A. O. ; Al-Hasani, H.; Cheverud, J. M.; Pomp, D.; Bünger, L. & Brockmann, G. A.​ (2007) 
    OMICS11(4) pp. 341​-350​.​ DOI: https://doi.org/10.1089/omi.2007.0015 
    Details  DOI 
  • 2007 Journal Article
    ​ ​A New Method to Calculate Higher-Order Entropies from Finite Samples​
    Schmitt, A. O. ; Herzel, H. & Ebeling, W.​ (2007) 
    EPL23(5) pp. 303​-309​.​ DOI: https://doi.org/10.1209/0295-5075/23/5/001 
    Details  DOI 
  • 2007 Journal Article
    ​ ​Protein evolution within and between species​
    Schmitt, A. O. ; Schuchhardt, J.; Ludwig, A. & Brockmann, G. A.​ (2007) 
    Journal of Theoretical Biology249(2) pp. 376​-383​.​ DOI: https://doi.org/10.1016/j.jtbi.2007.08.001 
    Details  DOI 
  • 2006 Journal Article
    ​ ​Genetic, sex, and diet effects on body weight and obesity in the Berlin Fat Mouse Inbred lines​
    Wagener, A.; Schmitt, A. O. ; Aksu, S.; Schlote, W.; Neuschl, C. & Brockmann, G. A.​ (2006) 
    Physiological Genomics27(3) pp. 264​-270​.​ DOI: https://doi.org/10.1152/physiolgenomics.00225.2005 
    Details  DOI 
  • 2004 Journal Article
    ​ ​Quantitative DNA methylation analysis based on four-dye trace data from direct sequencing of PCR amplificates​
    Lewin, J.; Schmitt, A. O. ; Adorjan, P.; Hildmann, T. & Piepenbrock, C.​ (2004) 
    Bioinformatics20(17) pp. 3005​-3012​.​ DOI: https://doi.org/10.1093/bioinformatics/bth346 
    Details  DOI 
  • 2003 Journal Article
    ​ ​Systematic Isolation of Genes Differentially Expressed in Normal and Cancerous Tissue of the Pancreas​
    Grützmann, R.; Pilarsky, C.; Staub, E.; Schmitt, A. O. ; Foerder, M.; Hinzmann, B. & Dahl, E. et al.​ (2003) 
    Pancreatology3(2) pp. 169​-178​.​ DOI: https://doi.org/10.1159/000070087 
    Details  DOI 
  • 2001 Journal Article
    ​ ​Differential gene expression by endothelial cells in distinct angiogenic states​
    Glienke, J.; Schmitt, A. O. ; Pilarsky, C.; Hinzmann, B.; Weiß, B.; Rosenthal, A. & Thierauch, K.-H.​ (2001) 
    European Journal of Biochemistry267(9) pp. 2820​-2830​.​ DOI: https://doi.org/10.1046/j.1432-1327.2000.01325.x 
    Details  DOI 
  • 2000 Journal Article
    ​ ​Information theoretical probe selection for hybridisation experiments​
    Herwig, R.; Schmitt, A. O. ; Steinfath, M.; O'Brien, J.; Seidel, H.; Meier-Ewert, S. & Lehrach, H. et al.​ (2000) 
    Bioinformatics16(10) pp. 890​-898​.​ DOI: https://doi.org/10.1093/bioinformatics/16.10.890 
    Details  DOI 
  • 2000 Journal Article
    ​ ​An Algorithm for Clustering cDNA Fingerprints​
    Hartuv, E.; Schmitt, A. O. ; Lange, J.; Meier-Ewert, S.; Lehrach, H. & Shamir, R.​ (2000) 
    Genomics66(3) pp. 249​-256​.​ DOI: https://doi.org/10.1006/geno.2000.6187 
    Details  DOI 
  • 1999 Journal Article
    ​ ​Exhaustive mining of EST libraries for genes differentially expressed in normal and tumour tissues​
    Schmitt, A. O. ; Specht, T.; Beckmann, G.; Dahl, E.; Pilarsky, C. P.; Hinzmann, B. & Rosenthal, A.​ (1999) 
    Nucleic Acids Research27(21) pp. 4251​-4260​.​ DOI: https://doi.org/10.1093/nar/27.21.4251 
    Details  DOI 
  • 1997 Journal Article
    ​ ​Estimating the Entropy of DNA Sequences​
    Schmitt, A. O.   & Herzel, H.​ (1997) 
    Journal of Theoretical Biology188(3) pp. 369​-377​.​ DOI: https://doi.org/10.1006/jtbi.1997.0493 
    Details  DOI 
  • 1996 Journal Article
    ​ ​The modular structure of informational sequences​
    Schmitt, A. O. ; Ebeling, W. & Herzel, H.​ (1996) 
    Biosystems37(3) pp. 199​-210​.​ DOI: https://doi.org/10.1016/0303-2647(95)01544-2 
    Details  DOI 
  • 1994 Journal Article
    ​ ​Entropies of biosequences: The role of repeats​
    Herzel, H.; Ebeling, W. & Schmitt, A. O. ​ (1994) 
    Physical Review. E50(6) pp. 5061​-5071​.​ DOI: https://doi.org/10.1103/PhysRevE.50.5061 
    Details  DOI 
  • 1994 Journal Article | Research Paper
    ​ ​Finite sample effects in sequence analysis​
    Herzel, H.; Schmitt, A. O.   & Ebeling, W.​ (1994) 
    Chaos, Solitons & Fractals4(1) pp. 97​-113​.​ DOI: https://doi.org/10.1016/0960-0779(94)90020-5 
    Details  DOI 

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