Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses
by
Schloss, Patrick D.
in
16S rRNA gene sequencing
/ amplicon sequencing
/ bioinformatics
/ Computational Biology - methods
/ data science
/ Datasets
/ Ecologists
/ Ecology
/ Editor’s Pick
/ Estimates
/ High-Throughput Nucleotide Sequencing - methods
/ Human Microbiome
/ microbial ecology
/ microbiome
/ Microbiota - genetics
/ Research Article
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sample size
/ Sequence Analysis, DNA - methods
/ Simulation
/ Variation
/ Veganism
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses
by
Schloss, Patrick D.
in
16S rRNA gene sequencing
/ amplicon sequencing
/ bioinformatics
/ Computational Biology - methods
/ data science
/ Datasets
/ Ecologists
/ Ecology
/ Editor’s Pick
/ Estimates
/ High-Throughput Nucleotide Sequencing - methods
/ Human Microbiome
/ microbial ecology
/ microbiome
/ Microbiota - genetics
/ Research Article
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sample size
/ Sequence Analysis, DNA - methods
/ Simulation
/ Variation
/ Veganism
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses
by
Schloss, Patrick D.
in
16S rRNA gene sequencing
/ amplicon sequencing
/ bioinformatics
/ Computational Biology - methods
/ data science
/ Datasets
/ Ecologists
/ Ecology
/ Editor’s Pick
/ Estimates
/ High-Throughput Nucleotide Sequencing - methods
/ Human Microbiome
/ microbial ecology
/ microbiome
/ Microbiota - genetics
/ Research Article
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sample size
/ Sequence Analysis, DNA - methods
/ Simulation
/ Variation
/ Veganism
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses
Journal Article
Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Sequencing 16S rRNA gene fragments has become a fundamental tool for understanding the diversity of microbial communities and the factors that affect their diversity. Due to technical challenges, it is common to observe wide variation in the number of sequences that are collected from different samples within the same study. However, the diversity metrics used by microbial ecologists are sensitive to differences in sequencing effort. Therefore, tools are needed to control for the uneven levels of sequencing. This simulation-based analysis shows that despite a longstanding controversy, rarefaction is the most robust approach to control for uneven sequencing effort. The controversy started because of confusion over the definition of rarefaction and violation of assumptions that are made by methods that have been borrowed from other fields. Microbial ecologists should use rarefaction.
Publisher
American Society for Microbiology
This website uses cookies to ensure you get the best experience on our website.