Inference of microbial interaction networks from large-scale heterogeneous abundance data
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Updated
Oct 9, 2025 - Julia
Inference of microbial interaction networks from large-scale heterogeneous abundance data
An open database of vertebrate-virus interactions
`ggbipart`, an R package for plotting bipartite networks
R package for bootstrapping indices of bipartite ecological networks
Networks. Boil 'em mash 'em stick 'em in a stew. And now, plot 'em.
📦 Occurrence / Co-occurrence / more
R package for building turnover saturation curves via bootstrapping
Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks.
Computer labs and notebooks for the upcoming book "Practical Analysis of Ecological Networks"
Compute the Robustness of Bipartite Ecological Network using the Latent Block Model
paper
A updatet code for the paper Bastazini et al. 2017
R package associated with paper "Component response rate variation underlies the stability of highly complex finite systems" (Duthie, AB. 2020. Sci. Rep. 10:8296, https://www.nature.com/articles/s41598-020-64401-w). This repository contains all manuscript text and supplemental information, and all code for recreating analyses.
Orwebcraft, ecologists association
Red social sobre ecologistas, crea un espacio para compartir conocimiento y generar comunidades entorno al cuidado del medio ambiente.
👯 ☕ Where you lead, I will follow ☕ 👯
IoT CityHack Project with Zolertia Remote - Ecological Footprint
This repository contains the R script and dataset used to analyse bee communities, plant–pollinator interaction networks, and pathogen prevalence across wild and managed bees.
Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
Application of AI techniques to ecological data
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