Datler J, Hansen J, Thader A, Schlögl A, Bauer LW, Hodirnau V-V, Schur FK. 2024. Multi-modal cryo-EM reveals trimers of protein  to form the palisade layer in poxvirus cores. Nature Structural &; Molecular Biology.

Zeller P, Yeung J, Viñas Gaza H, de Barbanson BA, Bhardwaj V, Florescu M, van der Linden R, van Oudenaarden A. 2023. Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis. Nature Genetics. 55, 333–345.

Elefante S, Stadlbauer S, Alexander MF, Schlögl A. Cryo-EM software packages: A sys-admins point of view. ASHP - Austrian-Slovenian HPC Meeting 2023. ASHPC: Austrian-Slovenian HPC Meeting, 42–42.

Schlögl A, Elefante S, Hodirnau V-V. Running Windows-applications on a Linux HPC cluster using WINE. ASHP - Austrian-Slovenian HPC Meeting 2023. ASHPC: Austrian-Slovenian HPC Meeting, 59–59.

Yeung J, Florescu M, Zeller P, De Barbanson BA, Wellenstein MD, Van Oudenaarden A. 2023. scChIX-seq infers dynamic relationships between histone modifications in single cells. Nature Biotechnology. 41, 813–823.

D’Elia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, Zomer A, Lopes MB, Ibrahimi E, Gruca A, Nechyporenko A, Frohme M, Klammsteiner T, Pau ECDS, Marcos-Zambrano LJ, Hron K, Pio G, Simeon A, Suharoschi R, Moreno-Indias I, Temko A, Nedyalkova M, Apostol ES, Truic CO, Shigdel R, Telalovi JH, Bongcam-Rudloff E, Przymus P, Jordamovi NB, Falquet L, Tarazona S, Sampri A, Isola G, Pérez-Serrano D, Trajkovik V, Klucar L, Loncar-Turukalo T, Havulinna AS, Jansen C, Bertelsen RJ, Claesson MJ. 2023. Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action. Frontiers in Microbiology. 14, 1257002.

Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. 2022. Where is the sweet spot? A procurement story of general purpose compute nodes. ASHP - Austrian-Slovenian HPC Meeting 2022. ASHPC: Austrian-Slovenian HPC Meeting, 7.

Schlögl A, Elefante S, Hornoiu A, Stadlbauer S. 2021. Managing software on a heterogenous HPC cluster. ASHP – Austrian-Slovenian HPC Meeting 2021. ASHPC - Austrian-Slovenian HPC Meeting, 5.

Zhang X, Schlögl A, Vandael DH, Jonas PM. 2021. MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. Journal of Neuroscience Methods. 357(6), 109125.

Rubel P, Fayn J, Macfarlane PW, Pani D, Schlögl A, Värri A. 2021. The history and challenges of SCP-ECG: The standard communication protocol for computer-assisted electrocardiography. Hearts. 2(3), 384–409.

Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–C network, IST Austria,10.15479/AT:ISTA:10110 .

Schlögl A, Kiss J, Elefante S eds. 2020. Austrian High-Performance-Computing meeting (AH), Klosterneuburg, Austria: IST Austria, 72p.

Zhang X, Schlögl A, Jonas PM. 2020. Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. 107(6), 1212–1225.

Schlögl A, Kiss J, Elefante S. 2019. Is Debian suitable for running an HPC Cluster? AHP - Austrian HPC Meeting 2019 . AHPC: Austrian HPC Meeting, 25.

Sauermann S, David V, Schlögl A, Egelkraut R, Frohner M, Pohn B, Urbauer P, Mense A. 2017. Biosignals standards and FHIR: The way to go. eHealth: Health Informatics Meets eHealth, Studies in Health Technology and Informatics, vol. 236, 356–362.

Schlögl A, Kiss J. 2017. Scientific Computing at IST Austria. AHP – Austrian HPC Meeting 2017. AHPC: Austrian HPC Meeting, 28.

Guzmán J, Schlögl A, Frotscher M, Jonas PM. 2016. Synaptic mechanisms of pattern completion in the hippocampal C network. Science. 353(6304), 1117–1123.

Schlögl A, Stadlbauer S. 2016. High performance computing at IST Austria: Modelling the human hippocampus. AHP - Austrian HPC Meeting 2016. AHPC: Austrian HPC Meeting, 37.

Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. 2014. Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. Psychophysiology. 51(4), 385–395.

Guzmán J, Schlögl A, Schmidt Hieber C. 2014. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 8(FEB), 16.