ISMB/ECCB Microbiome COSI 2023
Intelligent Systems for Molecular Biology / European Conference on Computational Biology (ISMB/ECCB) 2023
July 24-25, 2023
Microbiome research is currently one of the most dynamic fields in life sciences. It is of high relevance for (precision) medicine, global change research, microbial ecology, biotechnology and other areas. With a special session at ISMB 2017 (SST02) we have kick-started the new MICROBIOME COSI, which is supposed to establish a platform for developers and users of computational methods in microbiome research within the ISCB.
Call for Submissions
We are soliciting submissions for the Microbiome session as part of the program of Intelligent Systems for Molecular Biology / European Conference on Computational Biology (ISMB/ECCB) 2023, to be held July 24-25, 2023, in Lyon, France. Deadline for Proceedings Submission is January 19. Deadline for Abstract Submissions is April 20. Accepted work will be presented as part of a two-day track at the ISMB/ECCB meeting, run under the auspices of the ISMB Microbiome Community of Special Interest (COSI). The Microbiome track will be open to all ISMB/ECCB attendees and run on a parallel schedule to other ISMB/ECCB tracks. Contributions are solicited for proceedings papers with associated platform talks as well as short abstracts for consideration for talks or posters. These will appear in addition to invited talks on topics of community interest.
Topics of Interest
Papers and abstracts are solicited in all areas of computational microbiome research and method development. Topics of interest include, but are not limited to, the following:
Computational methods and algorithms for basic analyses of metaomics data (e.g. assembly, binning, profiling)
Benchmarking studies of metaomic analysis software
Computational methods and algorithms for innovative methods linking microbiome research to other fields (e.g. phylogenetics, microbial genomics, clinical & biotechnological applications, population genetics, systems biology)
Computational methods for innovative new data types in microbiome research (e.g. very long-reads, Hi-C, single-cell)