The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microbial populations in various ecosystems. Mathematical modeling and simulation of such microbiome time series data can help in getting better understanding of bacterial communities. In this paper, we present Web-gLV—a GUI based interactive platform for generalized Lotka-Volterra (gLV) based modeling and simulation of microbial populations. The tool can be used to generate the mathematical models with automatic estimation of parameters and use them to predict future trajectories using numerical simulations. We also demonstrate the utility of our tool on few publicly available datasets. The case studies demonstrate the ease with which the current ...
Natural microbial communities contain hundreds to thousands of interacting species. For this reason,...
Bacteria can exchange genetic material, or acquire genes found in the environment. This process, gen...
Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natura...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
Nowadays, microbial communities are frequently monitored over long periods of time and the interacti...
Abstract Microbial ecosystem modeling is complicated by the large number of unknown parameters and t...
Realization of the importance of microbiome studies, coupled with the decreasing sequencing cost, ha...
International audienceSimulation of genomic data is a key tool in population genetics, yet, to date,...
Microorganisms in nature form diverse communities that dynamically change in structure and function ...
Population dynamic models can be used in conjunction with time series of species abundances to infer...
Post-doctoral Researcher Guilhem Sommeria-Klein at the Academy of Finland is developing mathematical...
With our growing understanding of the impact of microbial communities, understanding how such commun...
Genome-scale stoichiometric modeling of metabolism has become a standard systems biology tool for mo...
Natural microbial communities contain hundreds to thousands of interacting species. For this reason,...
Bacteria can exchange genetic material, or acquire genes found in the environment. This process, gen...
Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natura...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microb...
Nowadays, microbial communities are frequently monitored over long periods of time and the interacti...
Abstract Microbial ecosystem modeling is complicated by the large number of unknown parameters and t...
Realization of the importance of microbiome studies, coupled with the decreasing sequencing cost, ha...
International audienceSimulation of genomic data is a key tool in population genetics, yet, to date,...
Microorganisms in nature form diverse communities that dynamically change in structure and function ...
Population dynamic models can be used in conjunction with time series of species abundances to infer...
Post-doctoral Researcher Guilhem Sommeria-Klein at the Academy of Finland is developing mathematical...
With our growing understanding of the impact of microbial communities, understanding how such commun...
Genome-scale stoichiometric modeling of metabolism has become a standard systems biology tool for mo...
Natural microbial communities contain hundreds to thousands of interacting species. For this reason,...
Bacteria can exchange genetic material, or acquire genes found in the environment. This process, gen...
Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natura...