Benjamin D. Kaehler

University of Canberra — Australia

Biochemistry, Genetics and Molecular Biology · Life Sciences

17h-index32.0kcitations50works0.02yr avg
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Research Topics

Genomics and Phylogenetic Studies(19), Genetic diversity and population structure(12), Species Distribution and Climate Change(8), Gut microbiota and health(7), Metabolomics and Mass Spectrometry Studies(7)

Publications50 total

Species abundance information improves sequence taxonomy classification accuracy - HMP and NCBI data
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
Species abundance information improves sequence taxonomy classification accuracy - HMP and NCBI data
Figshare·2019Open Access
Species abundance information improves sequence taxonomy classification accuracy - Qiita data
Figshare·2019Open Access
Species abundance information improves sequence taxonomy classification accuracy - Qiita data
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
2018· 578 citedOpen Access
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
2018· 189 citedOpen Access
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
2018· 875 citedOpen Access
q2-sample-classifier: machine-learning tools for microbiome classification and regression
The Journal of Open Source Software·2018· 196 citedOpen Access
Did aculeate silk evolve as an antifouling material?
PLoS ONE·2018· 5 citedOpen Access
Species abundance information improves sequence taxonomy classification accuracy
2018· 6 citedOpen Access
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin
Microbiome·2018· 5.6k citedOpen Access
q2-sample-classifier: machine-learning tools for microbiome classification and regression
2018· 32 citedOpen Access
Optimizing taxonomic classification of marker gene amplicon sequences
2018· 34 citedOpen Access
Optimizing taxonomic classification of marker gene amplicon sequences
2018· 3 citedOpen Access
Optimizing taxonomic classification of marker gene sequences
2017· 21 citedOpen Access
Full reconstruction of non-stationary strand-symmetric models on rooted phylogenies
Journal of Theoretical Biology·2017· 4 cited
Standard Codon Substitution Models Overestimate Purifying Selection for Non-Stationary Data
Genome Biology and Evolution·2017· 12 citedOpen Access
Data For Standard Codon Substitution Models Overestimate Purifying Selection For Non-Stationary Data
Zenodo (CERN European Organization for Nuclear Research)·2016Open Access
Qiime2 2.0.5 Feauture-Classifier Tutorial Data
Zenodo (CERN European Organization for Nuclear Research)·2016Open Access
Multivariate subordination using generalised Gamma convolutions with applications to Variance Gamma processes and option pricing
Stochastic Processes and their Applications·2016· 23 cited
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Frequent Co-authors

Gavin Huttley(25), Nicholas A. Bokulich(22), Matthew R. Dillon(13), Evan Bolyen(12), J. Gregory Caporaso(10), Jai Ram Rideout(9), Michael S. Robeson(8), Rob Knight(8), Daniel McDonald(7), Emily K. Cope(6), Mehrbod Estaki(6), Christopher R. Keefe(6), Clarisse Marotz(6), Jessica L. Metcalf(6), Jamie Morton(6), Yoshiki Vázquez‐Baeza(6), Von Bing Yap(6), Christian C. Abnet(5), Gabriel A. Al‐Ghalith(5), Harriet Alexander(5)