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Communications Biology (2)
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Showing 1–4 of 4 results

Advanced filters: Author: Jinjun Kan Clear advanced filters

Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning

Machine learning breaks through the linear limitations of traditional methods, providing deeper insights into the assembly, interactions, and mechanisms underlying microbiomes at varying soil depths under different farming practices.

Yujie Mo
Raven Bier
Jinjun Kan
ResearchOpen Access18 Oct 2024
Communications Biology

Volume: 7, P: 1-16
Deep metagenomic sequencing unveils novel SAR202 lineages and their vertical adaptation in the ocean

The authors apply deep metagenomic sequencing to analyze six depth samples at the BATS station. They identify novel SAR202 groups/subgroups in the ocean to understand their vertical distribution, metabolic diversity, unique ecological niches.

Changfei He
Daniel Fucich
Feng Chen
ResearchOpen Access12 Jul 2024
Communications Biology

Volume: 7, P: 1-12
Urbanization pressures alter tree rhizosphere microbiomes

Carl L. Rosier
Shawn W. Polson
Tara L. E. Trammell
ResearchOpen Access03 May 2021
Scientific Reports

Volume: 11, P: 1-12
Archaea in Yellowstone Lake

Jinjun Kan
Scott Clingenpeel
Kenneth Nealson
Research05 May 2011
The ISME Journal

Volume: 5, P: 1784-1795