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 …

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 …

[HTML][HTML] iVikodak—A platform and standard workflow for inferring, analyzing, comparing, and visualizing the functional potential of microbial communities

S Nagpal, MM Haque, R Singh, SS Mande - Frontiers in Microbiology, 2019 - frontiersin.org
Background: The objectives of any metagenomic study typically include identification of
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

A Almeida, AL Mitchell, A Tarkowska, RD Finn - Gigascience, 2018 - academic.oup.com
Background Taxonomic profiling of ribosomal RNA (rRNA) sequences has been the
accepted norm for inferring the composition of complex microbial ecosystems. Quantitative …

From microbiome composition to functional engineering, one step at a time

SD Burz, S Causevic, A Dal Co… - Microbiology and …, 2023 - Am Soc Microbiol
Communities of microorganisms (microbiota) are present in all habitats on Earth and are
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

F Wemheuer, JA Taylor, R Daniel, E Johnston… - Environmental …, 2020 - Springer
Abstract Background Sequencing of 16S rRNA genes has become a powerful technique to
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

Z Zhou, PQ Tran, AM Breister, Y Liu, K Kieft, ES Cowley… - Microbiome, 2022 - Springer
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 …

[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 …

[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 …

Embracing environmental genomics and machine learning for routine biomonitoring

T Cordier, A Lanzén, L Apothéloz-Perret-Gentil… - Trends in …, 2019 - cell.com
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 …