Inferring microbiota functions from taxonomic genes: a review
C Djemiel, PA Maron, S Terrat, S Dequiedt… - …, 2022 - academic.oup.com
Deciphering microbiota functions is crucial to predict ecosystem sustainability in response to
global change. High-throughput sequencing at the individual or community level has …
global change. High-throughput sequencing at the individual or community level has …
BugBase predicts organism-level microbiome phenotypes
T Ward, J Larson, J Meulemans, B Hillmann, J Lynch… - BioRxiv, 2017 - biorxiv.org
Shotgun metagenomics and marker gene amplicon sequencing can be used to directly
measure or predict the functional repertoire of the microbiota en masse, but current methods …
measure or predict the functional repertoire of the microbiota en masse, but current methods …
[HTML][HTML] iVikodak—A platform and standard workflow for inferring, analyzing, comparing, and visualizing the functional potential of microbial communities
Background: The objectives of any metagenomic study typically include identification of
resident microbes and their relative proportions (taxonomic analysis), profiling functional …
resident microbes and their relative proportions (taxonomic analysis), profiling functional …
Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments
Background Taxonomic profiling of ribosomal RNA (rRNA) sequences has been the
accepted norm for inferring the composition of complex microbial ecosystems. Quantitative …
accepted norm for inferring the composition of complex microbial ecosystems. Quantitative …
From microbiome composition to functional engineering, one step at a time
Communities of microorganisms (microbiota) are present in all habitats on Earth and are
relevant for agriculture, health, and climate. Deciphering the mechanisms that determine …
relevant for agriculture, health, and climate. Deciphering the mechanisms that determine …
[HTML][HTML] Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences
Abstract Background Sequencing of 16S rRNA genes has become a powerful technique to
study microbial communities and their responses towards changing environmental …
study microbial communities and their responses towards changing environmental …
[HTML][HTML] METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks
Background Advances in microbiome science are being driven in large part due to our
ability to study and infer microbial ecology from genomes reconstructed from mixed …
ability to study and infer microbial ecology from genomes reconstructed from mixed …
[HTML][HTML] Taxonomy-aware feature engineering for microbiome classification
M Oudah, A Henschel - BMC bioinformatics, 2018 - Springer
Background What is a healthy microbiome? The pursuit of this and many related questions,
especially in light of the recently recognized microbial component in a wide range of …
especially in light of the recently recognized microbial component in a wide range of …
[HTML][HTML] MicrobiotaProcess: A comprehensive R package for deep mining microbiome
S Xu, L Zhan, W Tang, Q Wang, Z Dai, L Zhou, T Feng… - The Innovation, 2023 - cell.com
The data output from microbiome research is growing at an accelerating rate, yet mining the
data quickly and efficiently remains difficult. There is still a lack of an effective data structure …
data quickly and efficiently remains difficult. There is still a lack of an effective data structure …
Embracing environmental genomics and machine learning for routine biomonitoring
Genomics is fast becoming a routine tool in medical diagnostics and cutting-edge
biotechnologies. Yet, its use for environmental biomonitoring is still considered a futuristic …
biotechnologies. Yet, its use for environmental biomonitoring is still considered a futuristic …