Welcome to the MICROBIOME Community of Special Interest
The MICROBIOME Community of Special Interest aims at the advancement and evaluation of computational methods in microbiome research, especially metaomic approaches. Based on the Critical Assessment of Metagenome Interpretation (CAMI), the COSI supplies users and developers with exhaustive quantitative data about the performance of methods in relevant scenarios. It therefore guides users in the selection and application of methods and in their proper interpretation. Furthermore, the COSI provides a platform for exchange and networking between method developers, and provides valuable information allowing them to identify promising directions for their future work.
CAMI Tutorial paper online in Nature Protocols
March 1, 2021. Our paper "Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit" is now available in Nature Protocols. It explains how to evaluate and benchmark metagenome assembly, binning, and profiling methods using standards and software provided by the Critical Assessment of Metagenome Interpretation (CAMI) initiative. See https://doi.org/10.1038/s41596-020-00480-3
ISMB/ECCB 2021: Call for microbiome papers and abstracts
We are soliciting submissions for the Microbiome session as part of the program of Intelligent Systems for Molecular Biology (ISMB) / European Conference on Computational Biology (ECCB) 2021, to be held July 25-29, 2021 (virtually). Deadline for Proceedings submission is January 28; for Abstract submissions, it is May 6. Read more on https://www.microbiome-cosi.org/ismb-microbiome-cosi-2021
CAMI 2 is now open
Are you a developer of a computational metagenome analysis method and software? The CAMI 2 contest started on January 16, 2019. Find more information at CAMI2
CAMI paper online and open accessible in Nature Methods
Our paper "Critical Assessment of Metagenome Interpretation—a benchmark of metagenomics software" is now online in Nature Methods. Here we publicly share full-text access to a view-only version of the paper by using the following SharedIt link: http://rdcu.be/wnZp Readers of our article via the shared link will also be able to use Enhanced PDF features such as annotation tools, one-click supplements, citation file exports and article metrics.