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

Neutral mutation disequilibrium is common in prokaryotes and animals
2025Open Access
Network based differential abundance analysis: bridging community interactions and host microbiome dynamics
Network Modeling Analysis in Health Informatics and Bioinformatics·2025Open Access
Unveiling the Hidden Pandemic of IoT Malware with Biological and Health Approaches
Lecture notes in networks and systems·2025
Issue Information
Biopolymers·2023Open Access
New insights from modelling studies and molecular dynamics simulations of the <scp>DI<sub>S5‐S6</sub></scp> extracellular linker of the skeletal muscle sodium channel <i>NaV1.4</i>
Biopolymers·2023· 3 citedOpen Access
The Inherited Rate Matrix algorithm for phylogenetic model selection for non-stationary Markov processes
2022Open Access
Silva 138.1 taxonomy classifiers for use with QIIME 2 q2-feature-classifier
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Silva 138.1 taxonomy classifiers for use with QIIME 2 q2-feature-classifier
Zenodo (CERN European Organization for Nuclear Research)·2022· 3 citedOpen Access
RESCRIPt: Reproducible sequence taxonomy reference database management
PLoS Computational Biology·2021· 874 citedOpen Access
Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops
PLoS Computational Biology·2021· 6 citedOpen Access
Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences
Frontiers in Microbiology·2021· 39 citedOpen Access
The inherited rate matrix algorithm for phylogenetic model selection for non-stationary Markov processes
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Beating Naive Bayes at Taxonomic Classification
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Beating Naive Bayes at Taxonomic Classification
2020Open Access
Measuring the microbiome: Best practices for developing and benchmarking microbiomics methods
Computational and Structural Biotechnology Journal·2020· 85 citedOpen Access
Species abundance information improves sequence taxonomy classification accuracy
Nature Communications·2019· 193 citedOpen Access
Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Nature Biotechnology·2019· 833 citedOpen Access
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Nature Biotechnology·2019· 22.2k citedOpen Access
redbiom: a Rapid Sample Discovery and Feature Characterization System
mSystems·2019· 52 citedOpen Access
Species-level microbial sequence classification is improved by source-environment information
Repository for Publications and Research Data (ETH Zurich)·2019· 1 citedOpen Access
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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)