Amanote Research
Register
Sign In
Optimizing Taxonomic Classification of Marker Gene Amplicon Sequences
doi 10.7287/peerj.preprints.3208v2
Full Text
Open PDF
Abstract
Available in
full text
Date
January 17, 2018
Authors
Nicholas A Bokulich
Benjamin D Kaehler
Jai Ram Rideout
Matthew Dillon
Evan Bolyen
Rob Knight
Gavin A. Huttley
J. Gregory Caporaso
Publisher
PeerJ
Related search
Optimizing Taxonomic Classification of Marker Gene Sequences
BASTA - Taxonomic Classification of Sequences and Sequence Bins Using Last Common Ancestor Estimations
Methods in Ecology and Evolution
Ecological Modeling
Ecology
Systematics
Evolution
Behavior
Exact Sequence Variants Should Replace Operational Taxonomic Units in Marker-Gene Data Analysis
ISME Journal
Evolution
Ecology
Systematics
Microbiology
Behavior
Predictive Metabolomic Profiling of Microbial Communities Using Amplicon or Metagenomic Sequences
Nature Communications
Astronomy
Genetics
Molecular Biology
Biochemistry
Chemistry
Physics
Optimizing the Fold Stability of Miniprotein Sequences
Advances in Experimental Medicine and Biology
Biochemistry
Medicine
Genetics
Molecular Biology
Table 1: Primer Sequences and Expected Amplicon Size for N66 Amplification.
Optimizing Taxonomic Semantic Web Queries Using Labeling Schemes
SSRN Electronic Journal
Optimizing Time-Frequency Kernels for Classification
IEEE Transactions on Signal Processing
Electronic Engineering
Signal Processing
Electrical
rpoB, a Promising Marker for Analyzing the Diversity of Bacterial Communities by Amplicon Sequencing
BMC Microbiology
Microbiology
