The Supercomputer MACH-2: Use Cases
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Use Case: Comprehensive meta-analysis of available marker gene datasets
from black soldier fly (Hermetia illucens) larvae
Scientific Groups and Collaborations
- Department of Microbiology, University of Innsbruck, Austria: Thomas Klammsteiner, Heribert Insam
- Faculty of Electrical Engineering, University of Ljubljana, Slovenia: BoĊĦtjan Murovec
- Department of Animal Science, University of Ljubljana, Slovenia: Blaz Stres
- Institute of Sanitary Engineering, University of Ljubljana, Slovenia: Blaz Stres
- Faculty of Medicine, University of Ljubljana, Slovenia: Blaz Stres
Description of the Application
As the flagship species of an emerging insect biotechnology with the
goal to convert organic wastes into a source of insect-based protein and
fat, the black soldier fly (BSF; Hermetia illucens) has awaken popular
interest in science and industry. Research showed, a complex network of
microbial gut communities strongly contributes to waste degradation
processes and shapes the larval environment. However, the lack of a best
practice approach in preparing and analyzing raw sequence data affects the
informative value and reproducibility between studies. Thus, a comprehensive
re-analysis of published data following a standardized protocol in the
context of a meta-analysis could drastically improve comparability and
enable robust conclusions across studies.
The volume of sequencing data and the iterative preprocessing
optimization require for high computational effort, creating the need for
parallelization of analysis tools on high-performance computing (HPC)
platforms.
Published Scientific Literature
- Conference abstract: How high-performance computing brings our
understanding of insect-based gut microbiomes to the next level.
Klammsteiner, T., Insam, H., Murovec, B., Stres, B., 2021., in: ASHPC21.
Presented at the Austrian-Slovenian HPC Meeting 2021, Online, p. 52.
DOI:10.3359/2021hpc
- Conference poster: DOI:10.13140/RG.2.2.23613.18408
Relevant Links
JKU Scientific Computing Administration