for PhD students of the Research training group EcoMol and the Integrated Research Training Group of the CRC Roseobacter and PhD program 'Environmental Sciences and Biodiversity’ and PhD students and PostDocs from HIFMB
Analyses of amplicon-based sequencing technologies have become a state-of-the-art method to analyze microbial communities in many life sciences areas. Also in the marine microbiology sector, this tool is frequently used to investigate community structures, as well as activities of certain community members. Yet, analysis of these sequencing data is an active field of research that advances rapidly. For example, the widelyused clustering-based technique of operational taxonomic units (OTUs) is now competing with amplicon sequence variants (ASVs), a method that controls sequencing errors instead of clustering by a fixed dissimilarity threshold. While several bioinformatic platforms have been available for quite a while, workflows and analyses can now also be documented and tracked and thus increase the reproducibility of analyses. Several recent scientific reports also highlight the compositional nature of sequence-based data and propose statistical methods such as log-ratio transformations or variance stabilization transformations instead of using fractions or rarefaction for normalization purposes prior to correlation analyses. This workshop aims to bring the participants up to date on recent data analysis possibilities and good-practice guidelines (e.g. Qiime2 and Dada2), as well as offering a hands-on experience for amplicon (16S or 18S rRNA) data analyses. Some previous coding skills in R are beneficial. Planned themes • denoising amplicon sequences • taxonomic annotation and biodiversity • statistics and analyses workflow of sequence data
The course is part of admission "Anmeldung gesperrt (global)".
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