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  1. No Access

    Article

    rhizoTrak: a flexible open source Fiji plugin for user-friendly manual annotation of time-series images from minirhizotrons

    Minirhizotrons are commonly used to study root turnover which is essential for understanding ecosystem carbon and nutrient cycling. Yet, extracting data from minirhizotron images requires extensive annotation ...

    Birgit Möller, Hongmei Chen, Tino Schmidt, Axel Zieschank, Roman Patzak in Plant and Soil (2019)

  2. Article

    Open Access

    Improving MetFrag with statistical learning of fragment annotations

    Molecule identification is a crucial step in metabolomics and environmental sciences. Besides in silico fragmentation, as performed by MetFrag, also machine learning and statistical methods evolved, showing an...

    Christoph Ruttkies, Steffen Neumann, Stefan Posch in BMC Bioinformatics (2019)

  3. No Access

    Article

    Aus Fehlern lernen — Wo binden Transkriptionsfaktoren an die DNA?

    Jan Grau, Stefan Posch, Jens Keilwagen in BIOspektrum (2019)

  4. Article

    Open Access

    Accurate prediction of cell type-specific transcription factor binding

    Prediction of cell type-specific, in vivo transcription factor binding sites is one of the central challenges in regulatory genomics. Here, we present our approach that earned a shared first rank in the “ENCOD...

    Jens Keilwagen, Stefan Posch, Jan Grau in Genome Biology (2019)

  5. Article

    Open Access

    DiffLogo: a comparative visualization of sequence motifs

    For three decades, sequence logos are the de facto standard for the visualization of sequence motifs in biology and bioinformatics. Reasons for this success story are their simplicity and clarity. The number of i...

    Martin Nettling, Hendrik Treutler, Jan Grau, Jens Keilwagen in BMC Bioinformatics (2015)

  6. No Access

    Chapter and Conference Paper

    Vision-Based 3D-Reconstruction of Barley Plants

    For multi-view 3D reconstruction robust standard procedures have been established and can directly be applied to many scenarios. However, the extraction of point correspondences as a prerequisite for reconstru...

    Armagan Elibol, Stefan Posch, Andreas Maurer in Pattern Recognition and Image Analysis (2013)

  7. No Access

    Chapter

    Model Dependency of RBMCDA for Tracking Multiple Targets in Fluorescence Microscopy

    The analysis of the dynamics of sub-cellular structures is of great interest to bio-medical research. We propose to use probabilistic tracking techniques to analyze the dynamics of stress granules (SGs) to avo...

    Oliver Greß, Stefan Posch in Bildverarbeitung für die Medizin 2012 (2012)

  8. No Access

    Article

    Sequence and expression of the chicken membrane-associated phospholipases A1 alpha (LIPH) and beta (LIPI)

    Cancer/testis antigens (CTA) are a heterogeneous group of antigens that are expressed preferentially in tumor cells and testis. Based on this definition the human membrane-associated phospholipase A1 beta (lip...

    Manuela Hesse, Edith Willscher, Benjamin J. Schmiedel in Molecular Biology Reports (2012)

  9. No Access

    Chapter and Conference Paper

    Knowing What Happened - Automatic Documentation of Image Analysis Processes

    Proper archiving or later reconstruction and verification of results in data analysis requires thorough logging of all manipulative actions on the data and corresponding parameter settings. Unfortunately such ...

    Birgit Möller, Oliver Greß, Stefan Posch in Computer Vision Systems (2011)

  10. No Access

    Chapter and Conference Paper

    Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures

    Scratch assays are widely used for cell motility and migration assessment in biomedical research. However, quantitative data is very often extracted manually. Here, we present a fully automated analysis pipeli...

    Markus Glaß, Birgit Möller, Anne Zirkel in Pattern Recognition and Image Analysis (2011)

  11. No Access

    Chapter and Conference Paper

    Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging

    Analysis of biomolecules in cells essentially relies on fluorescence microscopy. In combination with fully automatic image analysis it allows for insights into biological processes on the sub-cellular level an...

    Birgit Möller, Oliver Greß, Nadine Stöhr in Computer Vision, Imaging and Computer Grap… (2011)

  12. Article

    Open Access

    Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis

    One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or silencers, translation initiation sites, t...

    Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse in BMC Bioinformatics (2010)

  13. Article

    Open Access

    Unifying generative and discriminative learning principles

    The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of different and well-adapted models has been develo...

    Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse in BMC Bioinformatics (2010)

  14. No Access

    Protocol

    Probabilistic Approaches to Transcription Factor Binding Site Prediction

    Many different computer programs for the prediction of transcription factor binding sites have been developed over the last decades. These programs differ from each other by pursuing different objectives and b...

    Stefan Posch, Jan Grau, André Gohr in Computational Biology of Transcription Fac… (2010)

  15. No Access

    Chapter and Conference Paper

    Joint Analysis of In-situ Hybridization and Gene Expression Data

    To understand transcriptional regulation during development a detailed analysis of gene expression is needed. In-situ hybridization experiments measure the spatial distribution of mRNA-molecules and thus compl...

    Lennart Opitz, Alexander Schliep, Stefan Posch in Advances in Data Analysis (2007)

  16. No Access

    Chapter and Conference Paper

    Robust Image Sequence Mosaicing

    Mosaicing is a technique to efficiently condense the static information of an image sequence within one extended mosaic image. The core of mosaicing is to estimate a global transformation between images due to...

    Birgit Möller, Denis Williams, Stefan Posch in Pattern Recognition (2003)

  17. No Access

    Chapter and Conference Paper

    A Region Based Seed Detection for Root Detection in Minirhizotron Images

    Automatic analysis of plant root images is very important for the analysis of root architecture and morphology as requested by ecological, agronomic and biological studies. Extending the approach in [1] we imp...

    Gregor Erz, Stefan Posch in Pattern Recognition (2003)

  18. No Access

    Chapter and Conference Paper

    Analysis of Object Interactions in Dynamic Scenes

    One important source of information in scene understanding is given by actions performed either by human actors or robots. In this paper an approach to recognition and low-level interpretation of actions is pr...

    Birgit Möller, Stefan Posch in Pattern Recognition (2002)

  19. No Access

    Chapter and Conference Paper

    Analysis of Amperometric Biosensor Curves Using Hidden-Markov-Models

    In this paper a HMM based method for analysing curves of amperometric biosensors is presented. In addition to our multi-HMM approach, we propose an enhanced single-HMM approach, which is used to detect the cur...

    Jörg Weitzenberg, Stefan Posch, Manfred Rost in Pattern Recognition (2002)

  20. No Access

    Chapter and Conference Paper

    Detection and Tracking of Moving Objects for Mosaic Image Generation

    Mosaic images provide an efficient representation of image sequences and simplify scene exploration and analysis. However, the application of conventional methods to generate mosaics of scenes with moving obje...

    Birgit Möller, Stefan Posch in Pattern Recognition (2001)

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