Datler J, Hansen J, Thader A, et al. Multi-modal cryo-EM reveals trimers of protein10.1038/s41594-023-01201-6__to form the palisade layer in poxvirus cores. Nature Structural &; Molecular Biology. 2024. doi:10.1038/s41594-023-01201-6
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DOI: 10.1038/s41594-023-01201-6
PMID: 38316877

Zeller P, Yeung J, Viñas Gaza H, et al. Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis. Nature Genetics. 2023;55:333-345. doi:10.1038/s41588-022-01260-3
LibreCat: https://research-explorer.ista.ac.at/record/12158
DOI: 10.1038/s41588-022-01260-3

Elefante S, Stadlbauer S, Alexander MF, Schlögl A. Cryo-EM software packages: A sys-admins point of view. In: ASHP - Austrian-Slovenian HPC Meeting 2023. EuroCC; :42-42.
LibreCat: https://research-explorer.ista.ac.at/record/13162

Schlögl A, Elefante S, Hodirnau V-V. Running Windows-applications on a Linux HPC cluster using WINE. In: ASHP - Austrian-Slovenian HPC Meeting 2023. EuroCC; :59-59.
LibreCat: https://research-explorer.ista.ac.at/record/13161

Yeung J, Florescu M, Zeller P, De Barbanson BA, Wellenstein MD, Van Oudenaarden A. scChIX-seq infers dynamic relationships between histone modifications in single cells. Nature Biotechnology. 2023;41:813–823. doi:10.1038/s41587-022-01560-3
LibreCat: https://research-explorer.ista.ac.at/record/12106
DOI: 10.1038/s41587-022-01560-3
WoS: 000909067600003

D’Elia D, Truu J, Lahti L, et al. Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action. Frontiers in Microbiology. 2023;14. doi:10.3389/fmicb.2023.1257002
LibreCat: https://research-explorer.ista.ac.at/record/14449
DOI: 10.3389/fmicb.2023.1257002
WoS: 001080536000001
PMID: 37808321

Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. Where is the sweet spot? A procurement story of general purpose compute nodes. In: ASHP - Austrian-Slovenian HPC Meeting 2022. EuroCC Austria c/o Universität Wien; 2022:7. doi:10.25365/phaidra.337
LibreCat: https://research-explorer.ista.ac.at/record/12894
DOI: 10.25365/phaidra.337

Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. Managing software on a heterogenous HPC cluster. In: ASHP – Austrian-Slovenian HPC Meeting 2021. University of Ljubljana; 2021:5. doi:10.3359/2021hpc
LibreCat: https://research-explorer.ista.ac.at/record/12909
DOI: 10.3359/2021hpc

Zhang X, Schlögl A, Vandael DH, Jonas PM. MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. 2021;357(6). doi:10.1016/j.jneumeth.2021.109125
LibreCat: https://research-explorer.ista.ac.at/record/9329
DOI: 10.1016/j.jneumeth.2021.109125
WoS: 000661088500005

Rubel P, Fayn J, Macfarlane PW, Pani D, Schlögl A, Värri A. The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. 2021;2(3):384-409. doi:10.3390/hearts2030031
LibreCat: https://research-explorer.ista.ac.at/record/15285
DOI: 10.3390/hearts2030031

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

Zhang X, Schlögl A, Jonas PM. Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. 2020;107(6):1212-1225. doi:10.1016/j.neuron.2020.07.006
LibreCat: https://research-explorer.ista.ac.at/record/8261
DOI: 10.1016/j.neuron.2020.07.006
WoS: 000579698700009
PMID: 32763145

Schlögl A, Kiss J, Elefante S. Is Debian suitable for running an HPC Cluster? In: AHP - Austrian HPC Meeting 2019 . Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz; 2019:25.
LibreCat: https://research-explorer.ista.ac.at/record/12901

Sauermann S, David V, Schlögl A, et al. Biosignals standards and FHIR: The way to go. In: Vol 236. IOS Press; 2017:356-362. doi:10.3233/978-1-61499-759-7-356
LibreCat: https://research-explorer.ista.ac.at/record/630
DOI: 10.3233/978-1-61499-759-7-356

Schlögl A, Kiss J. Scientific Computing at IST Austria. In: AHP – Austrian HPC Meeting 2017. FSP Scientific Computing; 2017:28.
LibreCat: https://research-explorer.ista.ac.at/record/12905

Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern completion in the hippocampal C network. Science. 2016;353(6304):1117-1123. doi:10.1126/science.aaf1836
LibreCat: https://research-explorer.ista.ac.at/record/1350
DOI: 10.1126/science.aaf1836

Schlögl A, Stadlbauer S. High performance computing at IST Austria: Modelling the human hippocampus. In: AHP - Austrian HPC Meeting 2016. VSC - Vienna Scientific Cluster; 2016:37.
LibreCat: https://research-explorer.ista.ac.at/record/12903

Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. Psychophysiology. 2014;51(4):385-395. doi:10.1111/psyp.12062
LibreCat: https://research-explorer.ista.ac.at/record/1890
DOI: 10.1111/psyp.12062

Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 2014;8(FEB). doi:10.3389/fninf.2014.00016
LibreCat: https://research-explorer.ista.ac.at/record/2230
DOI: 10.3389/fninf.2014.00016

Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. 2012;103(7):1429-1439. doi:10.1016/j.bpj.2012.08.039
LibreCat: https://research-explorer.ista.ac.at/record/2954
DOI: 10.1016/j.bpj.2012.08.039
PMID: 23062335

Tangermann M, Müller K, Aertsen A, et al. Review of the BCI competition IV. Frontiers in Neuroscience. 2012;6. doi:10.3389/fnins.2012.00055
LibreCat: https://research-explorer.ista.ac.at/record/493
DOI: 10.3389/fnins.2012.00055

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

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