Karoline Faust

Predicting microbial interactions with approaches based on flux balance analysis: an evaluation

Metabolic models of human gut microbiota: Advances and challenges

Starvation responses impact interaction dynamics of human gut bacteria<i>Bacteroides thetaiotaomicron</i>and<i>Roseburia intestinalis</i>

The virota and its transkingdom interactions in the healthy infant gut

Quantifying the impact of ecological memory on the dynamics of interacting communities

Open challenges for microbial network construction and analysis

Temporal variability in quantitative human gut microbiome profiles and implications for clinical research

Disentangling environmental effects in microbial association networks

Null-model-based network comparison reveals core associations

Earth microbial co-occurrence network reveals interconnection pattern across microbiomes

Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics

Synthetic ecology of the human gut microbiota

From hairballs to hypotheses–biological insights from microbial networks

Microbial communities as dynamical systems

Can we predict keystones?

Signatures of ecological processes in microbial community time series

Integrated culturing, modeling and transcriptomics uncovers complex interactions and emergent behavior in a three-species synthetic gut community

Genetic correlation network prediction of forest soil microbial functional organization

Microbial Consortium Design Benefits from Metabolic Modeling

Gut microbiota dynamics and uraemic toxins: one size does not fit all

Multi-stability and the origin of microbial community types

Using metabolic networks to resolve ecological properties of microbiomes

Population-level analysis of gut microbiome variation

Correlation detection strategies in microbial data sets vary widely in sensitivity and precision

CoNet app: inference of biological association networks using Cytoscape

CoNet app: inference of biological association networks using Cytoscape

Millions of reads, thousands of taxa: microbial community structure and associations analyzed via marker genes

Combined use of network inference tools identifies ecologically meaningful bacterial associations in a paddy soil

A web application for sample size and power calculation in case-control microbiome studies

Fire modifies the phylogenetic structure of soil bacterial co‐occurrence networks