Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Population heterogeneity is omnipresent in all bioprocesses even in homogenous
environments. Its origin, however, is only so well understood that potential strategies like bet …

In community ecology, drift refers to random births and deaths in a population. In microbial
ecology, drift is estimated indirectly via community snapshots but in this way, it is almost …

Interactions between the gut microbiome and immunoglobulin A (IgA) in the gut during
infancy are important for future health. IgM and IgG are also present in the gut; however …

Increasing efforts are directed towards the development of sustainable alternative protein
sources among which microbial protein (MP) is one of the most promising. Especially when …

Selection and dispersal are ecological processes that have contrasting roles in the
assembly of communities. Variable selection diversifies and strong dispersal homogenizes …

Microbial mixed cultures are gaining increasing attention as biotechnological production
systems, since they offer a large but untapped potential for future bioprocesses. Effects of …

In diagnostics of infectious diseases, matrix-assisted laser desorption/ionization-time-of-
flight mass spectrometry (MALDI-TOF MS) can be applied for the identification of pathogenic …

Cellular heterogeneity influences bioprocess performance in ways that until date are not
completely elucidated. In order to account for this phenomenon in the design and operation …

The study of complex microbial communities typically entails high-throughput sequencing
and downstream bioinformatics analyses. Here we expand and accelerate microbiota …