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.
LibreCat: https://research-explorer.ista.ac.at/record/14979
DOI: 10.1038/s41594-023-01201-6
PMID: 38316877

P. Zeller et al., “Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis,” Nature Genetics, vol. 55. Springer Nature, pp. 333–345, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/12158
DOI: 10.1038/s41588-022-01260-3

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.
LibreCat: https://research-explorer.ista.ac.at/record/13162

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.
LibreCat: https://research-explorer.ista.ac.at/record/13161

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.
LibreCat: https://research-explorer.ista.ac.at/record/12106
DOI: 10.1038/s41587-022-01560-3
WoS: 000909067600003

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.
LibreCat: https://research-explorer.ista.ac.at/record/14449
DOI: 10.3389/fmicb.2023.1257002
WoS: 001080536000001
PMID: 37808321

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.
LibreCat: https://research-explorer.ista.ac.at/record/12894
DOI: 10.25365/phaidra.337

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.
LibreCat: https://research-explorer.ista.ac.at/record/12909
DOI: 10.3359/2021hpc

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.
LibreCat: https://research-explorer.ista.ac.at/record/9329
DOI: 10.1016/j.jneumeth.2021.109125
WoS: 000661088500005

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.
LibreCat: https://research-explorer.ista.ac.at/record/15285
DOI: 10.3390/hearts2030031

A. Schlögl, J. Kiss, and S. Elefante, Eds., Austrian High-Performance-Computing meeting (AH). Klosterneuburg, Austria: IST Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7474
DOI: 10.15479/AT:ISTA:7474

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.
LibreCat: https://research-explorer.ista.ac.at/record/8261
DOI: 10.1016/j.neuron.2020.07.006
WoS: 000579698700009
PMID: 32763145

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.
LibreCat: https://research-explorer.ista.ac.at/record/12901

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.
LibreCat: https://research-explorer.ista.ac.at/record/630
DOI: 10.3233/978-1-61499-759-7-356

A. Schlögl and J. Kiss, “Scientific Computing at IST Austria,” in AHP – Austrian HPC Meeting 2017, Grundlsee, Austria, 2017, p. 28.
LibreCat: https://research-explorer.ista.ac.at/record/12905

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.
LibreCat: https://research-explorer.ista.ac.at/record/1350
DOI: 10.1126/science.aaf1836

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.
LibreCat: https://research-explorer.ista.ac.at/record/12903

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.
LibreCat: https://research-explorer.ista.ac.at/record/1890
DOI: 10.1111/psyp.12062

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.
LibreCat: https://research-explorer.ista.ac.at/record/2230
DOI: 10.3389/fninf.2014.00016

A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M. Jonas, “A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo,” Biophysical Journal, vol. 103, no. 7. Biophysical, pp. 1429–1439, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/2954
DOI: 10.1016/j.bpj.2012.08.039
PMID: 23062335

M. Tangermann et al., “Review of the BCI competition IV,” Frontiers in Neuroscience, vol. 6. Frontiers Research Foundation, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/493
DOI: 10.3389/fnins.2012.00055

A. Schlögl, C. Vidaurre, and T. Sander, “BioSig: The free and open source software library for biomedical signal processing,” Computational Intelligence and Neuroscience, vol. 2011. Hindawi Publishing Corporation, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/490
DOI: 10.1155/2011/935364

A. Schlögl, C. Vidaurre, and K.-R. Müller, “Adaptive Methods in BCI Research - An Introductory Tutorial,” in Brain-Computer Interfaces, 1st ed., B. Graimann, G. Pfurtscheller, and B. Allison, Eds. Berlin, Heidelberg: Springer, 2010, pp. 331–355.
LibreCat: https://research-explorer.ista.ac.at/record/14983
DOI: 10.1007/978-3-642-02091-9_18