Integrated genome-wide data analysis by ensemble learning methods to understand infection processes
Transcription analysis can be a valuable approach to better understand regulatory processes and complex gene-protein interaction-networks. To explore such a transcriptome, data from two state of the art methods, namely microarray-analysis and next-generation-sequenciEnsemble techniques, will be analysed and compared by means of supervised and unsupervised ensemble learning methods.
In particular, such an analysis will be performed to understand infection processes and virulence of Aspergillus fumigatus by gene expression analysis of infected murine macrophages.
(2018) Chromatin mapping identifies BasR, a key regulator of bacteria-triggered production of fungal secondary metabolites. Elife 7,
(2012) 4-Hydroxyphenylglycine biosynthesis in Herpetosiphon aurantiacus: a case of gene duplication and catalytic divergence. Arch Microbiol 194(6), 557-566.
(2012) An Interspecies Regulatory Network Inferred from Simultaneous RNA-seq of Candida albicans Invading Innate Immune Cells. Front Microbiol 3, 85.
(2011) Gene acquisition, duplication and metabolic specification: the evolution of fungal methylisocitrate lyases. Environ Microbiol 13(6), 1534-1548.
Start of PhD
May 1, 2009
October 12, 2012