Machine learning for microbiologists

F Asnicar, AM Thomas, A Passerini… - Nature Reviews …, 2024 - nature.com
Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

K Deiner, HM Bik, E Mächler, M Seymour… - Molecular …, 2017 - Wiley Online Library
The genomic revolution has fundamentally changed how we survey biodiversity on earth.
High‐throughput sequencing (“HTS”) platforms now enable the rapid sequencing of DNA …

Metagenomic approaches in microbial ecology: an update on whole-genome and marker gene sequencing analyses

AE Pérez-Cobas, L Gomez-Valero… - Microbial …, 2020 - microbiologyresearch.org
Metagenomics and marker gene approaches, coupled with high-throughput sequencing
technologies, have revolutionized the field of microbial ecology. Metagenomics is a culture …

Metagenomics-a guide from sampling to data analysis

T Thomas, J Gilbert, F Meyer - Microbial informatics and experimentation, 2012 - Springer
Metagenomics applies a suite of genomic technologies and bioinformatics tools to directly
access the genetic content of entire communities of organisms. The field of metagenomics …

[HTML][HTML] PhyloSift: phylogenetic analysis of genomes and metagenomes

AE Darling, G Jospin, E Lowe, FA Matsen IV, HM Bik… - PeerJ, 2014 - peerj.com
Like all organisms on the planet, environmental microbes are subject to the forces of
molecular evolution. Metagenomic sequencing provides a means to access the DNA …

pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree

FA Matsen, RB Kodner, EV Armbrust - BMC bioinformatics, 2010 - Springer
Background Likelihood-based phylogenetic inference is generally considered to be the most
reliable classification method for unknown sequences. However, traditional likelihood-based …

Metagenomic analyses: past and future trends

C Simon, R Daniel - Applied and environmental microbiology, 2011 - journals.asm.org
Metagenomics has revolutionized microbiology by paving the way for a cultivation-
independent assessment and exploitation of microbial communities present in complex …

Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies

A Oulas, C Pavloudi, P Polymenakou… - … and biology insights, 2015 - journals.sagepub.com
Advances in next-generation sequencing (NGS) have allowed significant breakthroughs in
microbial ecology studies. This has led to the rapid expansion of research in the field and …

Origins and challenges of viral dark matter

SR Krishnamurthy, D Wang - Virus research, 2017 - Elsevier
The accurate classification of viral dark matter–metagenomic sequences that originate from
viruses but do not align to any reference virus sequences–is one of the major obstacles in …

High throughput sequencing methods and analysis for microbiome research

JM Di Bella, Y Bao, GB Gloor, JP Burton… - Journal of microbiological …, 2013 - Elsevier
High-throughput sequencing technology is rapidly improving in quality, speed and cost. It is
therefore becoming more widely used to study whole communities of prokaryotes in many …