J. Datler et al., “Multi-modal cryo-EM reveals trimers of protein  to form the palisade layer in poxvirus cores,” Nature Structural &; Molecular Biology. Springer Nature, 2024.

P. Zeller et al., “Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis,” Nature Genetics, vol. 55. Springer Nature, pp. 333–345, 2023.

S. Elefante, S. Stadlbauer, M. F. Alexander, and A. Schlögl, “Cryo-EM software packages: A sys-admins point of view,” in ASHP - Austrian-Slovenian HPC Meeting 2023, Maribor, Slovenia, pp. 42–42.

A. Schlögl, S. Elefante, and V.-V. Hodirnau, “Running Windows-applications on a Linux HPC cluster using WINE,” in ASHP - Austrian-Slovenian HPC Meeting 2023, Maribor, Slovenia, pp. 59–59.

J. Yeung, M. Florescu, P. Zeller, B. A. De Barbanson, M. D. Wellenstein, and A. Van Oudenaarden, “scChIX-seq infers dynamic relationships between histone modifications in single cells,” Nature Biotechnology, vol. 41. Springer Nature, pp. 813–823, 2023.

D. D’Elia et al., “Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action,” Frontiers in Microbiology, vol. 14. Frontiers, 2023.

A. Schlögl, A. Hornoiu, S. Elefante, and S. Stadlbauer, “Where is the sweet spot? A procurement story of general purpose compute nodes,” in ASHP - Austrian-Slovenian HPC Meeting 2022, Grundlsee, Austria, 2022, p. 7.

A. Schlögl, S. Elefante, A. Hornoiu, and S. Stadlbauer, “Managing software on a heterogenous HPC cluster,” in ASHP – Austrian-Slovenian HPC Meeting 2021, Virtual, 2021, p. 5.

X. Zhang, A. Schlögl, D. H. Vandael, and P. M. Jonas, “MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo,” Journal of Neuroscience Methods, vol. 357, no. 6. Elsevier, 2021.

P. Rubel, J. Fayn, P. W. Macfarlane, D. Pani, A. Schlögl, and A. Värri, “The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography,” Hearts, vol. 2, no. 3. MDPI, pp. 384–409, 2021.

J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, and P. M. Jonas, “How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–C network.” IST Austria, 2021.

A. Schlögl, J. Kiss, and S. Elefante, Eds., Austrian High-Performance-Computing meeting (AH). Klosterneuburg, Austria: IST Austria, 2020.

X. Zhang, A. Schlögl, and P. M. Jonas, “Selective routing of spatial information flow from input to output in hippocampal granule cells,” Neuron, vol. 107, no. 6. Elsevier, pp. 1212–1225, 2020.

A. Schlögl, J. Kiss, and S. Elefante, “Is Debian suitable for running an HPC Cluster?,” in AHP - Austrian HPC Meeting 2019 , Grundlsee, Austria, 2019, p. 25.

S. Sauermann et al., “Biosignals standards and FHIR: The way to go,” presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017, vol. 236, pp. 356–362.

A. Schlögl and J. Kiss, “Scientific Computing at IST Austria,” in AHP – Austrian HPC Meeting 2017, Grundlsee, Austria, 2017, p. 28.

J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms of pattern completion in the hippocampal C network,” Science, vol. 353, no. 6304. American Association for the Advancement of Science, pp. 1117–1123, 2016.

A. Schlögl and S. Stadlbauer, “High performance computing at IST Austria: Modelling the human hippocampus,” in AHP - Austrian HPC Meeting 2016, Grundlsee, Austria, 2016, p. 37.

C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, and A. Ischebeck, “Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection,” Psychophysiology, vol. 51, no. 4. Wiley-Blackwell, pp. 385–395, 2014.

J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological data with Python,” Frontiers in Neuroinformatics, vol. 8, no. FEB. Frontiers Research Foundation, 2014.