Projects: B1, B2, FungiNet B - Bioinformatics projects, FungiNet total
Institutions: Julius Maximilians University Würzburg, Biocenter, Department of Bioinformatics
Roles: PhD Student
Expertise: Proteomics, Lichtheimia corymbifera, Data Management, protein-protein interaction, Integrative Data Analysis, Aspergillus fumigatus, Bioinformatics, Candida albicans, Host-Pathogen Interaction
Tools: Phosphoproteomics, Transcriptomics, R, JavaScript, Network analysis, Proteomics, MySQL, PHP, Python, Java
Projects: A1, A2, A3, A4 (E), A5, A6, B1, B2, B4, B5, C2, C1, C3, C4 (E), C5, C6 (E), FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, FungiNet total, INF, Z1, Z2, B3 (E), A7, A8, C7
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)

Expertise: Systems Biology, Bioinformatics, Metabolic networks
Projects: B2, FungiNet total, B1
Institutions: Friedrich Schiller University Jena, Department of Bioinformatics, School for Biology and Pharmacy, Julius Maximilians University Würzburg, Biocenter, Department of Bioinformatics

Roles: PhD Student, Postdoc
Expertise: Metabolic networks, Systems Biology, Mathematical Modelling
Tools: LaTeX, Python, R, Matlab, Systems biological modelling
Projects: FungiNet total, INF, A1, A2, A3, A4 (E), A5, A6, B1, B2, B3 (E), B4, B5, C1, C2, C3, C4 (E), C5, C6 (E), FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, Z1, Z2
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)
Roles: Postdoc
Expertise: Bioinformatics, Integrative Data Analysis, Gene Clusters, Data Management, Transcriptional Regulation, Gene Regulatory Network Inference, Secondary Metabolites
Tools: LaTeX, R, CASSIS, MEME, Python, SMIPS, FIMO, Perl, antiSMASH
README
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This package contains code that generates and analyses tracks in 2D given three
distinct condition; non-persistent, persistent and directed by the
Ornstein-Uhlenbeck process. Full details on the analysis can be found in the
article "Svensson et al., Untangling cell tracks: quantifying cell migration by
time lapse image data analysis, Cytometry Pt A, 2017". The paper can be found
on
...
Creator: Carl-Magnus Svensson
Contributor: Carl-Magnus Svensson
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: Not specified
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses