Unifying community detection across scales from genomes to landscapes

Andrii Zaiats, Stephanie F. Hudon, Anna Roser, Anand Roopsind, Cristina Barber, Brecken C. Robb, Britt A. Pendleton, Meghan J. Camp, Patrick E. Clark, Merry M. Davidson, Jonas Frankel-Bricker, Marcella Fremgen-Tarantino, Jennifer Sorensen Forbey, Eric J. Hayden, Lora A. Richards, Olivia K. Rodrigues & T. Trevor Caughlin
Biodiversity science encompasses multiple disciplines and biological scales from molecules to landscapes. Nevertheless, biodiversity data are often analyzed separately with discipline-specific methodologies, constraining resulting inferences to a single scale. To overcome this, we present a topic modeling framework to analyze community composition in cross-disciplinary datasets, including those generated from metagenomics, metabolomics, field ecology, and remote sensing. Using topic models, we demonstrate how community detection in different datasets can inform the conservation of interacting plants and...
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13 downloads reported since publication in 2021.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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