Mehmet Gültas

According to our database, Mehmet Gültas authored at least 11 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Detecting Animal Contacts - A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts.

Martin Wutke, Felix Heinrich, Pronaya Prosun Das, Anita Lange, Maria Gentz, Imke Traulsen, Friederike K. Warns, Armin Otto Schmitt, Mehmet Gültas

Sensors, 2021

A graph-based algorithm for detecting rigid domains in protein structures.

Truong Khanh Linh Dang, Thach Nguyen, Michael Habeck, Mehmet Gültas, Stephan Waack

BMC Bioinform., 2021

2020

Genotyping by Sequencing Reads of 20 Vicia faba Lines with High and Low Vicine and Convicine Content.

Felix Heinrich, Mehmet Gültas, Wolfgang Link, Armin Otto Schmitt

Data, 2020

Automatische Unterscheidung von Verhaltensmustern bei Schweinen auf der Basis von Anomalieerkennung durch ein neuronales Konvolutionsnetzwerk.

Martin Wutke, Mehmet Gültas, Imke Traulsen, Armin Otto Schmitt

Proceedings of the 40. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, Fokus: Digitalisierung für Mensch, Umwelt und Tier, 17., 2020

2019

Big Data Technologies for DNA Sequencing.

Lena Wiese, Armin Otto Schmitt, Mehmet Gültas

Proceedings of the Encyclopedia of Big Data Technologies., 2019

2018

Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database.

Lena Wiese, Chimi Wangmo, Lukas Steuernagel, Armin Otto Schmitt, Mehmet Gültas

Proceedings of the Data Integration in the Life Sciences - 13th International Conference, 2018

2016

A Novel Sequence-Based Feature for the Identification of DNA-Binding Sites in Proteins Using Jensen-Shannon Divergence.

Truong Khanh Linh Dang, Cornelia Meckbach, Rebecca Tacke, Stephan Waack, Mehmet Gültas

Entropy, 2016

2015

PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information.

Cornelia Meckbach, Rebecca Tacke, Xu Hua, Stephan Waack, Edgar Wingender, Mehmet Gültas

BMC Bioinform., 2015

2014

Quantum Coupled Mutation Finder: Predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming.

Mehmet Gültas, Güncel Düzgün, Sebastian Herzog, Sven Joachim Jäger, Cornelia Meckbach, Edgar Wingender, Stephan Waack

BMC Bioinform., 2014

CRF-based models of protein surfaces improve protein-protein interaction site predictions.

Zhijie Dong, Keyu Wang, Truong Khanh Linh Dang, Mehmet Gültas, Marlon Welter, Torsten Wierschin, Mario Stanke, Stephan Waack

BMC Bioinform., 2014

2012

Coupled Mutation Finder: A new entropy-based method quantifying phylogenetic noise for the detection of compensatory mutations.

Mehmet Gültas, Martin Haubrock, Nesrin Tüysüz, Stephan Waack

BMC Bioinform., 2012