Other metagenomic assemblers: Metavelvet, an extension of Velvet based on finding eulerian path on De Bbruijn graph.
Knime: **Has a lot of features for data mining. **It is also integrated with nodes for diffrent OpenMS and Seqan projects. **Stephan will work on infrustructure support (5yrs) for the OpenMs, Sequan and KNIME.
Other areas to take a look at: **Metaproteomics **Proteogenomics
Courses: **Sequence Analysis
Mentor(Bernhard Y. Renard )Robert Koch-Institute: **Ask him to be my mentor. Affilated with IMPRS. Take a look at his works. He worked on abundance estimation. Maybe in position of Proteogenomics dataset.
Conclusion:
Try everything from assembling a metagenome, using proteins for identifying population dynamics in samples, and make a secondary data analysis using machine learning and statstics. Then prioritize according to interest. And Start working on the topics down in the list until we find a good and sound one. We will do semister based progress report. Let's explore for the next 3 more months and by the end of this year we will settle on a topic.