2021
DOI: 10.12688/f1000research.51494.1
|View full text |Cite
|
Sign up to set email alerts
|

The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis

Abstract: The National Ecological Observatory Network (NEON) annually performs shotgun metagenomic sequencing to sample genes within soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data policies and programming tutorials, but there is currently no introductory tutorial for performing analyses with the soil shotgun metagenomic dataset. Here, we describe a workflow for processing raw soil metagenome sequencing reads using the Sunbeam bioinformatics pipeline. T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 49 publications
0
1
0
Order By: Relevance
“…The challenges associated with the standardization of workflows in mNGS have a significant impact on the turnaround time and costs [ 30 , 31 ], data quality, reproducibility [ 32 ], comparability [ 33 ], and biological interpretation [ 34 , 35 , 36 ]. Therefore, recent studies have made significant progress in standardizing metagenomics workflows both in the wet laboratory (wet lab) [ 37 , 38 ] and the dry laboratory (dry lab) [ 39 , 40 , 41 ]. For instance, Parker et al (2023) developed a sample-to-answer workflow called PanGIA that includes simplified, standardized wet lab procedures and data analysis with an easy-to-use bioinformatics tool [ 38 ].…”
Section: Introductionmentioning
confidence: 99%
“…The challenges associated with the standardization of workflows in mNGS have a significant impact on the turnaround time and costs [ 30 , 31 ], data quality, reproducibility [ 32 ], comparability [ 33 ], and biological interpretation [ 34 , 35 , 36 ]. Therefore, recent studies have made significant progress in standardizing metagenomics workflows both in the wet laboratory (wet lab) [ 37 , 38 ] and the dry laboratory (dry lab) [ 39 , 40 , 41 ]. For instance, Parker et al (2023) developed a sample-to-answer workflow called PanGIA that includes simplified, standardized wet lab procedures and data analysis with an easy-to-use bioinformatics tool [ 38 ].…”
Section: Introductionmentioning
confidence: 99%