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2020 – today
- 2024
[c3]Dennis Köpp, Hendrik Bertram, Bruno Kezeya, Petra Zerhusen-Blecher, Tanja Schäfer, Mehmet Gültas, Marcus Mergenthaler:
"LeguDash" - ein Prototyp eines Dashboards für mehr Transparenz am Leguminosenmarkt. GIL 2024: 317-322- 2021
- [j8]Truong Khanh Linh Dang, Thach Nguyen
, Michael Habeck, Mehmet Gültas, Stephan Waack:
A graph-based algorithm for detecting rigid domains in protein structures. BMC Bioinform. 22(1): 66 (2021) - [j7]Martin Wutke, Felix Heinrich, Pronaya Prosun Das, Anita Lange, Maria Gentz, Imke Traulsen, Friederike K. Warns, Armin Otto Schmitt, Mehmet Gültas:
Detecting Animal Contacts - A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts. Sensors 21(22): 7512 (2021) - 2020
- [j6]Felix Heinrich, Mehmet Gültas, Wolfgang Link, Armin Otto Schmitt:
Genotyping by Sequencing Reads of 20 Vicia faba Lines with High and Low Vicine and Convicine Content. Data 5(3): 63 (2020) - [c2]Martin Wutke, Mehmet Gültas, Imke Traulsen, Armin Otto Schmitt:
Automatische Unterscheidung von Verhaltensmustern bei Schweinen auf der Basis von Anomalieerkennung durch ein neuronales Konvolutionsnetzwerk. GIL Jahrestagung 2020: 349-354
2010 – 2019
- 2019
- [r1]Lena Wiese, Armin Otto Schmitt, Mehmet Gültas:
Big Data Technologies for DNA Sequencing. Encyclopedia of Big Data Technologies 2019 - 2018
- [c1]Lena Wiese, Chimi Wangmo, Lukas Steuernagel, Armin Otto Schmitt, Mehmet Gültas:
Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database. DILS 2018: 33-43 - 2016
- [j5]Truong Khanh Linh Dang, Cornelia Meckbach, Rebecca Tacke, Stephan Waack, Mehmet Gültas:
A Novel Sequence-Based Feature for the Identification of DNA-Binding Sites in Proteins Using Jensen-Shannon Divergence. Entropy 18(10): 379 (2016) - 2015
- [j4]Cornelia Meckbach, Rebecca Tacke, Xu Hua, Stephan Waack, Edgar Wingender, Mehmet Gültas:
PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information. BMC Bioinform. 16: 400:1-400:21 (2015) - 2014
- [j3]Mehmet Gültas, Güncel Düzgün, Sebastian Herzog, Sven Joachim Jäger, Cornelia Meckbach, Edgar Wingender, Stephan Waack:
Quantum Coupled Mutation Finder: Predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming. BMC Bioinform. 15: 96 (2014) - [j2]Zhijie Dong, Keyu Wang, Truong Khanh Linh Dang, Mehmet Gültas, Marlon Welter, Torsten Wierschin, Mario Stanke, Stephan Waack:
CRF-based models of protein surfaces improve protein-protein interaction site predictions. BMC Bioinform. 15: 277 (2014) - 2012
- [j1]Mehmet Gültas, Martin Haubrock, Nesrin Tüysüz, Stephan Waack:
Coupled Mutation Finder: A new entropy-based method quantifying phylogenetic noise for the detection of compensatory mutations. BMC Bioinform. 13: 225 (2012)
Coauthor Index
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