Microbiome data analysis with applications to pre-clinical studies using QIIME2: Statistical considerations
Diversity analysis and taxonomic profiles can be generated from marker-gene sequence data with the help of many available computational tools. The Quantitative Insights into Microbial Ecology Version 2 (QIIME2) has been widely used for 16S rRNA data analysis. While many articles have demonstrated th...
Main Authors: | Shesh N. Rai, Chen Qian, Jianmin Pan, Jayesh P. Rai, Ming Song, Juhi Bagaitkar, Michael Merchant, Matthew Cave, Nejat K. Egilmez, Craig J. McClain |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-03-01
|
Series: | Genes and Diseases |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352304219301217 |
Similar Items
-
Sample storage conditions induce post-collection biases in microbiome profiles
by: Samir V. Jenkins, et al.
Published: (2018-12-01) -
Qiime Artifact eXtractor (qax): A Fast and Versatile Tool to Interact with Qiime2 Archives
by: Andrea Telatin
Published: (2021-03-01) -
The Effect of Helicobacter pylori antibiotic therapy on the microbiome
by: A. O’Connor, et al.
Published: (2020-01-01) -
Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics
by: Juan eJovel
Published: (2016-04-01) -
Long-Term Temperature Stress in the Coral Model Aiptasia Supports the “Anna Karenina Principle” for Bacterial Microbiomes
by: Hanin Ibrahim Ahmed, et al.
Published: (2019-05-01)