Şurhan GÖL

Modern life sciences generate data at a scale and complexity that fundamentally depend on scalable computing infrastructures and rigorous research data management. From assembling individual genomes, exploring complex microbial communities to building graph-based pangenomes, researchers today face both unprecedented opportunities and significant methodological challenges, not only in analysis, but also in how data and workflows are stored, shared, and sustained.

Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.

• Data in 1: 8 Samples (as described in samples_metadata.tsv)
• Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data