Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning for microbiologists
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 …
such as predicting antibiotic resistance and associating human microbiome features with …
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities
The genomic revolution has fundamentally changed how we survey biodiversity on earth.
High‐throughput sequencing (“HTS”) platforms now enable the rapid sequencing of DNA …
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 …
technologies, have revolutionized the field of microbial ecology. Metagenomics is a culture …
Metagenomics-a guide from sampling to data analysis
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 …
access the genetic content of entire communities of organisms. The field of metagenomics …
[HTML][HTML] PhyloSift: phylogenetic analysis of genomes and metagenomes
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 …
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
Background Likelihood-based phylogenetic inference is generally considered to be the most
reliable classification method for unknown sequences. However, traditional likelihood-based …
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 …
independent assessment and exploitation of microbial communities present in complex …
Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies
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 …
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 …
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
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 …
therefore becoming more widely used to study whole communities of prokaryotes in many …