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�…

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�…

[HTML][HTML] Piphillin: improved prediction of metagenomic content by direct inference from human microbiomes

S Iwai, T Weinmaier, BL Schmidt, DG Albertson…�- PloS one, 2016 - journals.plos.org
Functional analysis of a clinical microbiome facilitates the elucidation of mechanisms by
which microbiome perturbation can cause a phenotypic change in the patient. The direct�…

[HTML][HTML] MUSiCC: a marker genes based framework for metagenomic normalization and accurate profiling of gene abundances in the microbiome

O Manor, E Borenstein�- Genome biology, 2015 - Springer
Functional metagenomic analyses commonly involve a normalization step, where measured
levels of genes or pathways are converted into relative abundances. Here, we demonstrate�…

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�…

A computational framework to integrate high-throughput '-omics' datasets for the identification of potential mechanistic links

HK Pedersen, SK Forslund, V Gudmundsdottir…�- Nature protocols, 2018 - nature.com
We recently presented a three-pronged association study that integrated human intestinal
microbiome data derived from shotgun-based sequencing with untargeted serum�…

[HTML][HTML] Microbial abundance, activity and population genomic profiling with mOTUs2

A Milanese, DR Mende, L Paoli, G Salazar…�- Nature�…, 2019 - nature.com
Metagenomic sequencing has greatly improved our ability to profile the composition of
environmental and host-associated microbial communities. However, the dependency of�…

[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] 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�…