| L Steuernagel, C Meckbach, F Heinrich, S Zeidler, AO Schmitt, and M Gültas |
Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues |
PLoS ONE |
| M Pfeifer, L Eggemann, J Kransmann, AO Schmitt, and EF Hessel |
Inter- and intra-observer reliability of animal welfare indicators for the on-farm self-assessment of fattening pigs |
Animal |
| YA Mekonnen, M Gültas, K Effa, O Hanotte, and AO Schmitt |
Identification of candidate signature genes and key regulators associated with trypanotolerance in the sheko breed. |
Frontiers in Genetics |
| L Wiese, AO Schmitt, and M Gültas |
Big Data Technologies for DNA Sequencing |
Encyclopedia of Big Data Technologies |
| L Wiese, C Wangmo, L Steuernagel, A. Schmitt, and M Gültas |
Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database |
Data Integration in the Life Sciences |
| C Meckbach, E Wingender, and M Gültas |
Removing background co-occurrences of transcription factor binding sites greatly improves the prediction of specific transcription factor cooperations |
Frontiers in genetics |
| P Jean, DL de la Morena, S Michanski, LMJ Tobón, R Chakrabarti, MM Picher, J Neef, S Jung, M Gültas, S Maxeiner, A Neef, C Wichmann, N Strenzke, C Grabner, and T Moser |
The synaptic ribbon is critical for sound encoding at high rates and with temporal precision |
Elife |
