RP04: Integration of DNA methylation, genetic patterns, and functional annotation in non-model species

  • PhD Supervisor(s): Ivo Grosse, Carolin Delker, Peter Stadler
  • Host Institution: Martin Luther University Halle-Wittenberg
  • Duration: 36 months.
  • Fixed start date: 1 April 2018
  • Planned secondment(s): EcSeq Bioinformatics Leipzig (GE), NIOO-KNAW Wageningen (NL), Roche Diagnostics Germany 

Bioinformatics plays a central and highly integrative role in the EpiDiverse network. The scientific goal of this project is the development and optimization of algorithms and pipelines (i) for the computational analysis of whole-genome bisulfite sequencing (WGBS) data, reduced-representation bisulfite sequencing (RRBS) data, as well as high-throughput methylation data obtained from novel technologies developed by the EpiDiverse network, (ii) for the computational recognition of sequence patterns using modern machine learning techniques, (iii) for detecting, quantifying, and visualizing correlations among these patterns and of these patterns with functional annotations, and (iv) for the detection, quantification, and visualization of genetic as well as epigenetic population structure in diverse datasets generated by the EpiDiverse network.

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