Who we are:

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.


ISMB 2018: Call for microbiome papers and abstracts

Microbiome COSI   Call for Microbiome Papers & Abstracts Intelligent Systems for Molecular Biology (ISMB) 2018 July 8, 2018 Chicago, IL U.S.A.   We are soliciting submissions for the Microbiome session as part of the program of Intelligent Systems for Molecular Biology (ISMB) 2018, to be held July 6-10, 2018 at the Hyatt Regency Hotel, Chicago, IL. Deadline for Proceedings Submission is January 29th. Deadline for Abstract Submissions is April 5th. This is the first  time ISMB is... Read more

Submission of ISMB 2018 proceedings has opened

Since Nov 29, ISMB 2018 invites submissions reporting theoretical, computational, and statistical advances in computational biology and its intersections with other fields. Submissions are encouraged to report on advances in algorithm development and optimization, data structures, data visualization, artificial intelligence/machine learning, text mining, statistical inference, database and ontology development, image analysis, citizen and open science, etc. to analyze all types of biological... Read more

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.