Christiane Hassenrück

This paper applies topic modeling to estuarine microbiome data, showing it performs comparably to PCA and PCoA and identifies seasonal microbial sub-communities.

The paper detects a semi-annual biotic cycle in temperate aquatic communities using machine learning on DNA metabarcoding data, linking it to insolation patterns and photoautotrophs.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

This study shows Beggiatoa spp. can survive extreme phosphate starvation and rapidly uptake phosphate, suggesting they play a key role in phosphate buffering in marine sediments.

This study evaluates DNA extraction methods from marine sediments, finding that lysis buffer choice significantly affects DNA recovery and fragment length, with EDTA and phosphate buffers performing best.

The paper assesses metadata compliance for nucleotide sequence data in public archives and suggests improvements to enhance FAIR data management.