Dr. Marc Strickert
| Researcher ID: GEQ-8667-2022 |
Research interest
- Bioinformatik/Medizininformatik
- Biostatistik
- Programmierung
- Simulation
- Data Science
- High-Performance Computing
- Datenvisualisierung
Awards
- 2011 Best prediction of “Dialogue for Reverse Engineering Assessments and Methods”-Challenge
Columbia University Center for Multiscale Analysis of Genomic & Cellular Networks,
IBM Research - Zurich - 2007 Best Poster GABI Status Seminar
Federal Ministry of Research, Technology and Space, former: Federal Ministry of Education and Research
Projects as co-investigator or project member
- GRK 1564: Bildgebung und -verarbeitung neuer Modalitäten - Multimodale Bild-Akquisition und Analyse für Anwendungen in der Zivilen Sicherheit
German Research Foundation (DFG) - Theoriebildung und Algorithmenentwicklung zur Verarbeitung großer -omics- Datensätze aus der molekularen Biologie
Ministry for Science, Energy, Climate Protection and the Environment of the State of Saxony-Anhalt ()
Selected publications
- CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites (2016)
- IEEE Transactions on Knowledge and Data Engineering
Journal article - Correlation-based embedding of pairwise score data (2014)
- Neurocomputing
Journal article - Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana (2012)
- PLoS Computational Biology
Journal article - Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue (2007)
- BMC Bioinformatics
Journal article - Gene expression patterns reveal tissue-specific signaling networks controlling programmed cell death and ABA-regulated maturation in developing barley seeds (2006)
- The Plant Journal
Journal article
Publications
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- Genotyping by sequencing and a newly developed mRNA-GBS approach to link population genetic and transcriptome analyses reveal pattern differences between sites and treatments in red clover (Trifolium pratense L.) (2023)
- Frontiers in Ecology and Evolution
Journal article - Technical design report for the endcap disc DIRC (2022)
- Journal of Physics G: Nuclear and Particle Physics
Journal article - Feasibility studies for the measurement of time-like proton electromagnetic form factors from (p)over-barp → μ+μ- at PANDA at FAIR (2021)
- The European Physical Journal A
Journal article - PANDA Phase One (2021)
- The European Physical Journal A
Journal article - Study of excited Ξ baryons with the P ANDA detector (2021)
- The European Physical Journal A
Journal article - The potential of Λ and Ξ- studies with PANDA at FAIR (2021)
- The European Physical Journal A
Journal article - Class of Monotone Kernelized Classifiers on the basis of the Choquet Integral (2020)
- Expert Systems: The Journal of Knowledge Engineering
Journal article - Comparative genomic analysis of three co-occurring annual Asteraceae along micro-geographic fragmentation scenarios (2020)
- Perspectives in Plant Ecology, Evolution and Systematics
Journal article - "Macrobot": An Automated Segmentation-Based System for Powdery Mildew Disease Quantification (2020)
- Plant Phenomics
Journal article - The Giessen Cosmic Station - A muon telescope for tests of particle detectors (2020)
- Journal of Instrumentation
Conference paper - Precision resonance energy scans with the PANDA experiment at FAIR: Sensitivity study for width and line shape measurements of the X(3872) (2019)
- The European Physical Journal A
Journal article - siRNA-Finder (si-Fi) Software for RNAi-Target Design and Off-Target Prediction (2019)
- Frontiers in Plant Science
Journal article - Down-regulation of the sucrose transporters HvSUT1 and HvSUT2 affects sucrose homeostasis along its delivery path in barley grains (2017)
- Journal of Experimental Botany
Journal article - CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites (2016)
- IEEE Transactions on Knowledge and Data Engineering
Journal article - DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes (2016)
- Frontiers in Microbiology
Journal article
Previous professional career
- 03/2016 - 07/2016
Mitarbeiter, Job Coach
Schnelle Wiederintegration von Arbeitssuchenden in den Beruf- Gesellschaft für Wirtschaftsförderung, Ausbildungs- und Beschäftigungsinitiativen mbH
- 01/2015 - 06/2015
Wissenschaftlicher Angestellter, Institut für Lungenforschung, Biomedizinisches Forschungszentrum
Bioinformatikanalysen von qRT-PCR-, TLDA- und RNA-Seq-Daten- Philipps University of Marburg
- TransMIT Gesellschaft für Technologietransfer mbH
- 02/2012 - 04/2014
Postdoktorand SYNMIKRO und DFG-Projekt präferenzbasiertes Lernen
Entwicklung von Analysemethoden für Daten aus der synthetischen Mikrobiologie- Philipps University of Marburg
- 02/2010 - 01/2012
Postdoktorand, DFG Graduiertenkolleg 1564 'Imaging new modalities'
Entwicklung von Klassifkationsverfahren für Terahertz-Spektroskopiedaten- University of Siegen
- 01/2009 - 12/2010
Bilaterales Deutsch-Argentinisches Projekt (PI)
Algorithmen-Entwicklung zur Attribut-Selektion in der Chemoinformatik; Austauschprogramm mit Dr. Gustavo Vazquez (BMBF/IB:ARG08/016)- Universidad Nacional del Sur
- Planta Piloto de Ingeniería Química
- 05/2007 - 01/2010
Leiter Forschernachwuchsgruppe Dateninspektion (PI)
Theoriebildung und Algorithmenentwicklung zur Verarbeitung großer -omics- Datensätze aus der molekularen Biologie (Ministerium für Wissenschaft und Kultur Sachsen-Anhalt, XP3624HP/0606T)- Leibniz Institute of Plant Genetics and Crop Plant Research
- 09/2004 - 04/2007
Postdoktorand AG Mustererkennung
Methodenentwicklung für Transkriptomanalysen- Leibniz Institute of Plant Genetics and Crop Plant Research
- 08/2000 - 01/2005
Ph.D. (Dr. rer. nat.), Institut für Informatik
Arbeit: Self-Organizing Neural Networks for Sequence Processing (s.c.laude)
Gutachter: Prof. Barbara Hammer, Prof. Helge Ritter (TU-Bielefeld)
Gebiet: Lernen mit neuronalen Methoden auf strukturierten Daten- Osnabrück University
- 09/1995 - 01/2000
Dipl. Systemwiss., Institut für Umweltsystemforschung
Arbeit: Treatment of Time Series from Ecosystems: Analysis and Modelling by the Example of Daily Rainfall and Runoff Data (sehr gut)
Gutachter: Prof. Michael Matthies (Universität Osnabrück), Prof. Holger Lange (BITÖK, Universität Bayreuth)
Gebiet: Mathematische Modellierung komplexer Systeme- Osnabrück University
Other Research Activities
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- Konferenz "International Joint Conference on Neural Networks (IJCNN)" (Expert activities)
- Workshop on Computational Systems Biology (WCSB) (Expert activities)
- Workshop on Self-Organizing Maps (WSOM) (Expert activities)
