Author Gültas, Mehmet

1 to 20 of 42 Items
  • 2016 | Journal Article | 
    ​ ​Computational Detection of Stage-Specific Transcription Factor Clusters during Heart Development​
    Zeidler, S. ; Meckbach, C. ; Tacke, R.; Raad, F. S. ; Roa, A.; Uchida, S. & Zimmermann, W.-H.  et al.​ (2016) 
    Frontiers in Genetics, 7 art. 33​.​ DOI: https://doi.org/10.3389/fgene.2016.00033 
    ​Details  DOI 
  • 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 
  • 2018 | Journal Article | 
    ​ ​Removing Background Co-occurrences of Transcription Factor Binding Sites Greatly Improves the Prediction of Specific Transcription Factor Cooperations.​
    Meckbach, C. ; Wingender, E. & Gültas, M.​ (2018) 
    Frontiers in genetics, 9 art. 189​.​ DOI: https://doi.org/10.3389/fgene.2018.00189 
    ​Details  DOI  PMID  PMC 
  • 2018 | Journal Article | Research Paper | 
    ​ ​The synaptic ribbon is critical for sound encoding at high rates and with temporal precision​
    Jean, P.; Lopez de la Morena, D.; Michanski, S.; Jaime Tobón, L. M.; Gültas, M.; Maxeiner, S. & Strenzke, N.  et al.​ (2018) 
    eLife, 7.​ DOI: https://doi.org/10.7554/eLife.29275 
    ​Details  DOI  PMID  PMC 
  • 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 Genetics, 10.​ DOI: https://doi.org/10.3389/fgene.2019.01095 
    ​Details  DOI 
  • 2019 | Book Chapter
    ​ ​Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database​
    Wiese, L.; Wangmo, C.; Steuernagel, L.; Schmitt, A. O.& Gültas, M.​ (2019)
    In:​Auer, Sören; Vidal, Maria-Esther​ (Eds.), Data Integration in the Life Sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings pp. 33​-43. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-06016-9_3 
    ​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 ONE, 14(5) art. e0216475​.​ DOI: https://doi.org/10.1371/journal.pone.0216475 
    ​Details  DOI  PMID  PMC 
  • 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 Research, 190 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 Science, 234 pp. 103979​.​ DOI: https://doi.org/10.1016/j.livsci.2020.103979 
    ​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) 
    Vaccines, 8(2) pp. 246​.​ DOI: https://doi.org/10.3390/vaccines8020246 
    ​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 Brief, 32 art. 106051​.​ DOI: https://doi.org/10.1016/j.dib.2020.106051 
    ​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) 
    Genes, 11(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) 
    Genes, 11(4) pp. 464​.​ DOI: https://doi.org/10.3390/genes11040464 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Constructing temporal regulatory cascades in the context of development and cell differentiation​
    Daou, R.; Beißbarth, T. ; Wingender, E. ; Gültas, M. & Haubrock, M. ​ (2020) 
    PLoS One, 15(4) pp. e0231326​.​ DOI: https://doi.org/10.1371/journal.pone.0231326 
    ​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) 
    Genes, 11(8) pp. 892​.​ DOI: https://doi.org/10.3390/genes11080892 
    ​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) 
    Data, 5(3) art. 63​.​ DOI: https://doi.org/10.3390/data5030063 10.37473/dac/10.3390/data5030063 
    ​Details  DOI; 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) 
    Genes, 11(6) pp. 614​.​ DOI: https://doi.org/10.3390/genes11060614 
    ​Details  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) 
    AgriEngineering, 2(4) pp. 581​-595​.​ DOI: https://doi.org/10.3390/agriengineering2040039 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Ultrastructural maturation of the endbulb of Held active zones comparing wild-type and otoferlin-deficient mice​
    Hintze, A.; Gültas, M.; Semmelhack, E. A. & Wichmann, C. ​ (2021) 
    iScience, 24(4) pp. 102282​.​ DOI: https://doi.org/10.1016/j.isci.2021.102282 
    ​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) 
    Biology, 10(8) pp. 790​.​ DOI: https://doi.org/10.3390/biology10080790 
    ​Details  DOI 

Researcher

Göttingen All

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