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Andrés Mauricio Caraballo-Rodríguez

Researcher at University of Montana

Publications -  42
Citations -  12101

Andrés Mauricio Caraballo-Rodríguez is an academic researcher from University of Montana. The author has contributed to research in topics: Bacillus subtilis & Biology. The author has an hindex of 16, co-authored 39 publications receiving 5194 citations. Previous affiliations of Andrés Mauricio Caraballo-Rodríguez include University of São Paulo & University of California, San Diego.

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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen, +123 more
- 01 Aug 2019 - 
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Posted ContentDOI

QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

Evan Bolyen, +119 more
- 24 Oct 2018 - 
TL;DR: QIIME 2 provides new features that will drive the next generation of microbiome research, including interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.
Journal ArticleDOI

Feature-based molecular networking in the GNPS analysis environment.

Louis-Félix Nothias, +87 more
- 24 Aug 2020 - 
TL;DR: Feature-based molecular networking (FBMN) as discussed by the authors is an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools.
Journal ArticleDOI

Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Evan Bolyen, +125 more
- 01 Sep 2019 - 
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Journal ArticleDOI

Reproducible molecular networking of untargeted mass spectrometry data using GNPS

TL;DR: This protocol describes how to use GNPS to explore uploaded metabolomics data, and provides step-by-step instructions for creating reproducible, high-quality molecular networks.