Publikationen von T Dijkstra

Fedorov, L.; Dijkstra, T.; Murayama, Y.; Bohle, C.; Logothetis, N.: Topological analysis of multi-site LFP data. Ninth International Workshop Statistical Analysis of Neuronal Data (SAND9), Pittsburgh, PA, USA (2019)

Kodl, J.; Dijkstra, T.; Taubert, N.; Giese, M.: Role of Body Cues in Intent Perception During Ball Catching in VR. 41st European Conference on Visual Perception (ECVP 2018), Trieste, Italy (2019)

Fedorov, L.; Dijkstra, T.; Sting, L.; Hock, H.; Giese, M.: Neural model of the multi-stable dynamics of the perception of body motion. Twenty-Seventh Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA, USA (2018)

Netz, E.; Dijkstra, T.; Kohlbacher, O.: OpenPepXL: a versatile and sensitive XL-MS identification tool. 8th Symposium on Structural Proteomics (8SSP), Berlin, Germany (2018)

Weidmann, L.; Dijkstra, T.; Kohlbacher, O.; Lupas, A.: The prevalence of conservative evolution in the protein sequence universe. CAS Conference 2018: Molecular Origins of LIFE, München, Germany (2018)

Netz, E.; Dijkstra, T.; Kohlbacher, O.: OpenPepXL: a Versatile and Sensitive XL-MS Identification Tool. 66th ASMS Conference on Mass Spectrometry and Allied Topics, San Diego, CA, USA (2018)

Sting, L.; Fedorov, L.; Dijkstra, T.; Hock, H.; Giese, M.: Dynamics of multistable biological motion perception. 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA (2017)

Dijkstra, T.; Sachsenberg, T.; Kohlbacher, O.: Imputation of Missing Data in Quantitative Proteomics using Singular Value Thresholding. 65th ASMS Conference on Mass Spectrometry and Allied Topics, Indianapolis, IN, USA (2017)

Weidmann, L.; Dijkstra, T.; Kohlbacher, O.; Lupas, A.: Minor deviations from randomness have huge repercussions on the functional structuring of sequence space. (eingereicht)