bookmark SPIEC-EASI / SParse InversE Covariance Estimation for Ecological Association Inference Infers ecological associations between microbial populations. SPIEC-EASI uses algorithms for sparse neighbourhood and inverse covariance selection in order to reconstruct networks. It is able to produce a synthetic benchmark in the absence of an experimentally validated gold-standard network. The tool was tested on a large-scale 16S rRNA gene sequencing dataset sampled from the human gut. The results show that it outperforms state-of-the-art methods to recover edges and network properties on synthetic data.