Author

R. Cano

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

B. Auch· 2 shared M. Carlin· 2 shared A. D. Duca· 1 shared A. Damerum· 1 shared A. Saliou· 1 shared B. Farthing· 1 shared B. S. Moda· 1 shared C. Quince· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMicrobiology

B. Auch

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Red harvester ant nests impact soil compaction but not temperature in peri-urban habitats of the Lower Rio Grande Valley

G. Hernandez, H. J. Penn, R. Cano, L. V. Elliott-Vidaurri, R. A. Choudhury

This study examines how red harvester ant nests affect soil compaction and temperature in suburban habitats, finding increased compaction but no temperature changes.

bioRxiv · May 11, 2024 · PreprintEcology

Highly accurate metagenome-assembled genomes from human gut microbiota using long-read assembly, binning, and consolidation methods

D. M. Portik, X. Feng, G. Benoit, D. J. Nasko, B. Auch, S. J. Bryson, R. Cano, M. Carlin, A. Damerum, B. Farthing, J. R. Grove, M. Islam, K. W. Langford, I. Liachko, K. Locken, , J. E. Wilkinson

This study improves metagenome-assembled genomes from human gut microbiota using long-read sequencing and novel assembly methods, yielding more high-quality MAGs and uncovering uncultured diversity.

bioRxiv · May 10, 2024 · PreprintMicrobiology

Variability and Bias in Microbiome Metagenomic Sequencing: an Interlaboratory Study Comparing Experimental Protocols

S. P. Forry, S. L. Servetas, J. G. Kralj, K. Soh, M. Hadjithomas, R. Cano, M. Carlin, M. G. de Amorim, B. Auch, M. G. Bakker, T. F. Bartelli, J. P. Bustamante, I. Cassol, M. Chalita, E. Dias-Neto, , S. A. Jackson

This study evaluates how different laboratory methods affect microbiome metagenomic sequencing results through an interlaboratory comparison of 44 labs analyzing shared reference samples.

bioRxiv · Apr 28, 2023Microbiology