Dive into the Future of Microbial Ecology and Biotechnology this summer!
Get ready to embark on a transformative journey into the world of Microbial Ecology and Biotechnology with the summer school class, Trends in Multi-omics Data Analysis," featuring the esteemed Ulisses Nunes da Rocha, one of our Big Data plenary speakers.
Trends in multi-omics data analysis for Microbial Ecology and Biotechnology
The Microbial Data Science group at the UFZ designed this course focusing on students at different levels of their academic careers (B.Sc., M.Sc., and Ph.D.) and postdoctoral researchers. When we created this course, we had two groups in mind. On the one hand, experienced bioinformaticians would understand how their skills fit microbial ecology and biotechnology research; on the other, those working in microbial ecology and biotechnology would develop their multi-omics analysis skills.
This course is taught in collaboration with the University of Leipzig under the supervision of Prof. Dr. Peter Stadler (Webpage). Further, it participates in the efforts of the Helmholtz Interdisciplinary GRADuate School for Environmental Research (HIGRADE) and the German National research Data Infrastructure for Microbiota (NFDI4Microbiota). Therefore, students from the University of Leipzig, HIGRADE, and those connected to the NFDI4Microbiota are highly welcome to participate.
Teaching Phylosophy
Our teaching philosophy is centered on the conviction that educators should empower students to take control of their learning, nurturing the qualities that we expect our students to exhibit: dedication, professionalism, and self-motivation. To foster an environment where students are stimulated to learn, it is crucial to create a classroom where independent thought is highly valued, and all students are encouraged to achieve their full potential. To this end, we nurture intellectual skills (e.g., thinking, reasoning, interpreting, analyzing, reflecting, and questioning. I also believe in continually relating lecture and laboratory subjects to real-life situations. In this context, our team tries to foster problem-oriented learning. We believe this approach will help to make classes more interesting for students.
Teaching format
Lectures on 'Trends in multi-omics analysis' (3 ECTs) = 30 h in presence and 70 h self-study.
Lectures on 'Multi-omics analysis in microbial ecology and biotechnology' (3 ECTs) = 30 h in presence and 35 h self-study.
Practical course on 'From data to answers: making sense of multi-omics data sets' (4 ECTs) = 30 h in presence and 105 h of self-study.
Workload
10 ECTs = 300 working hours
Competence Goals
After active participation in the module 'Trends in multi-omics data analysis for Microbial Ecology and Biotechnology', students will be able to:
Define basic concepts and differents between genomics; transcriptomics and proteomics and metabolomics in single species and complex communities
Determine how wet-lab and experimental design may influence data mining and analysis of multi-omics data sets
Define basic concepts of multi-omics analysis in ecological and biotechnological applications
Design multi-omics data analyis related to ecology and biotechnology and to apply them in real multi-omics data sets
Give a scientific presentation
Translate multi-Omics data analyses into scientific texts and presentations
Summary of Module's content
The contents that make up this module are: Functional potential analysis; Description of ecosystem processes; Omics history; Omics technologies; Biodiversity analysis of high-throughput sequencing data; Research data management in the omics era; Phylogenomic analysis; Genome reconstruction from metagenomes; Amplicon sequencing analysis; Virus ecology and biotechnology; Reconstruction of metabolism at the genome level; Transcriptomics; Use of machine learning for omics analysis. The computational laboratory project will include: Genome reconstruction from the metagenome, machine learning, analysis of omics data, or metabolic reconstruction at the genome level (students can decide which of the projects they would like to participate in).
Literature references
Literature (recent articles and slides) will be provided to students a couple of days before the course starts.
Evaluation
Evaluation and Examination regulations follow the requirements of the M.Sc. in Computer Science degree program from the University of Leipzig.
Forms of examination and performance
Module Exams: participation in morning discussions, weight 1; oral examination of the project after conclusion (20 min presentation, 20 min questions), weight 1; written assay about the project, weight 1.
Contact:
Dr. Ulisses Nunes da Rocha
Department of Environmental Microbiology
Working Group Microbial Data Science
ulisses.rocha@ufz.de
Phone +49 341 235-1374
Permoserstraße 15 | 04318 Leipzig | Germany
Summer School in multi-omics for microbial ecology and biotechnology.