MCSPACE: inferring microbiome spatiotemporal dynamics from high-throughput co-localization data
Our results highlight the utility of MCSPACE, which we make available to the community as an open-source software tool, for elucidating the dynamics of microbiome biogeography and gaining insights into the role of spatial relationships in host-microbial ecosystem function. Video Abstract.
Authors
- Harris H. Wang (ORCID: https://orcid.org/0000-0003-2164-4318)
- Georg K. Gerber (ORCID: https://orcid.org/0000-0002-9149-5509)
- Jeungchan Lee (ORCID: https://orcid.org/0000-0002-4424-175X)
- Işın Y. Comba (ORCID: https://orcid.org/0000-0002-0955-6270)
- Miles Richardson (ORCID: https://orcid.org/0000-0003-3004-1084)
- Guillaume Urtecho (ORCID: https://orcid.org/0000-0003-1045-1721)
- Thomas Moody
- Gurdip Uppal
Institutions
- Brigham and Women's Hospital (US)
- Mayo Clinic (US)
- Harvard University (US)
- Harvard–MIT Division of Health Sciences and Technology (US)
- Columbia University (US)
Publication Details
- Journal
- Microbiome
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1186/s40168-025-02279-4
- Primary Topic
- Microbial Community Ecology and Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00