Markus Hollander

Curriculum Vitae

• 2016: B.Sc. in Bioinformatics, Center for Bioinformatics, Saarland University, Germany
• 2019: M.Sc. in Bioinformatics, Center for Bioinformatics, Saarland University, Germany
• Since 2019: PhD student, Center for Bioinformatics, Saarland University, Germany

Research Areas

• Gene regulatory networks
• Protein-protein interaction networks
• Eukaryotic linear motifs
• Data analysis

Publications

• Lyschik, S., Lauer, A.A., Roth, T., Janitschke, D., Hollander, M., Will, T., Hartmann, T., Kopito, R.R., Helms, V., Grimm, M.O.W., Schrul, B. (2022) Frontiers in Cell and Developmental Biology, section Membrane Traffic, 10:859052. doi: 10.3389/fcell.2022.859052. PEX19 coordinates neutral lipid storage in cells in a peroxisome-independent fashion.
• Hollander, M., Do, T.H.T., Will, T., Helms, V. (2021) Frontiers in Bioinformatics – Network Bioinformatics, 1:724297, doi:10.3389/fbinf.2021.724297/full. Detecting rewiring events in protein-protein interaction networks based on transcriptomic data.
• Hollander, M., Rasp, D., Aziz, M., Helms, V. (2021) Journal of Chemical Information and Modeling, doi:10.1021/acs.jcim.1c00154. ProPores2: web service and stand-alone tool for identifying, manipulating, and visualizing pores in protein structures.
• Hollander, M., Hamed, M., Helms, V., Neininger, K. (2018) Bioinformatics, vol. 34, p. 864-866. doi: 10.1093/bioinformatics/btx687. MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks.

Conference Papers

• Lo, C. C.-w., Chowdhury, J., Hollander, M., Ahmed, A.-W., Sood, S., Sproul, K., Hadgis, A. (2019) In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. HCII 2019. Lecture Notes in Computer Science(), vol 11580. Springer, Cham. doi:10.1007/978-3-030-22419-6_20. Facilitating Cluster Counting in Multi-dimensional Feature Space by Intermediate Information Grouping.
• Lo, C. C.-w., Hollander, M., Wan, F., Ahmed, A.-W., Bernobić, N., Nuon, N., Shrider, M. (2018) In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition: Intelligent Technologies. AC 2018. Lecture Notes in Computer Science(), vol 10915. Springer, Cham. doi:10.1007/978-3-319-91470-1_24. Intermediate Information Grouping in Cluster Recognition. 
• Neumann, S., Sood, S., Hollander, M., Wan, F., Ahmed, A.-W., Hancock, M. (2018) In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition: Users and Contexts. AC 2018. Lecture Notes in Computer Science(), vol 10916. Springer, Cham. doi:10.1007/978-3-319-91467-1_24. Using Bots in Strategizing Group Compositions to Improve Decision–Making Processes.
• Hancock, K., Brown, P., Hadgis, A., Hollander, M., Shrider, M. (2018)  In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition: Users and Contexts. AC 2018. Lecture Notes in Computer Science(), vol 10916. Springer, Cham. doi:10.1007/978-3-319-91467-1_21. Parole Board Personality and Decision Making Using Bias-Based Reasoning.
• Neumann, S., Li, C., Lo, C. C.-w., Lee, C., Rajwani, S., Sood, S., Foster, B. A., Hadgis, T., Savir, S., Michaels, F., Ahmed, A.-W., Bernobić, N., Hollander, M. (2017) In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. Neurocognition and Machine Learning. AC 2017. Lecture Notes in Computer Science(), vol 10284. Springer, Cham. doi:10.1007/978-3-319-58628-1_42. Content Feature Extraction in the Context of Social Media Behavior.

Teaching

• Softwarewerkzeuge der Bioinformatik – WS 2023/24
• Bioinformatics 3 – WS 2022/23
• Softwarewerkzeuge der Bioinformatik – WS 2022/23
• Softwarewerkzeuge der Bioinformatik – WS 2021/22
• Special-topic Lecture Bioinformatics: Processing of Biological Data – WS 2021/22
• Bioinformatics 3 – SS 2021
• Softwarewerkzeuge der Bioinformatik – WS 2020/21
• Special-topic Lecture Bioinformatics: Processing of Biological Data – SS 2020
• Bioinformatics 3 – WS 2019/20
• Softwarewerkzeuge der Bioinformatik – WS 2019/20
• Special-topic Lecture Biosciences: Cellular Programs – SS 2019
• Bioinformatics 3 – SS 2018