Evidence map›Paper›PMID 35707452›Full record

ArticleF1000Research2021

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

Zoey R Werbin, Briana Hackos, Jorge Lopez-Nava, Michael C Dietze, Jennifer M Bhatnagar

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Zoey R WerbinDepartment of Biology, Boston University, Boston, MA, 02215, USA.ORCID 0000-0003-2927-2838
Briana HackosDepartment of Mathematics, University of Colorado, Boulder, Boulder, CO, 80309, USA.
Jorge Lopez-NavaDepartment of Mathematics, Swarthmore College, Swarthmore, PA 19081, USA.
Michael C DietzeDepartment of Earth & Environment, Boston University, Boston, MA, 02215, USA.
Jennifer M BhatnagarDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Boston University · USUniversity of Colorado Boulder · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The largest dataset of soil metagenomes has recently been released by the National Ecological Observatory Network (NEON), which performs annual shotgun sequencing of soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data and programming tutorials, but there is currently no introductory tutorial for accessing and analyzing the soil shotgun metagenomic dataset. Here, we describe methods for processing raw soil metagenome sequencing reads using a bioinformatics pipeline tailored to the high complexity and diversity of the soil microbiome. We describe the rationale, necessary resources, and implementation of steps such as cleaning raw reads, taxonomic classification, assembly into contigs or genomes, annotation of predicted genes using custom protein databases, and exporting data for downstream analysis. The workflow presented here aims to increase the accessibility of NEON's shotgun metagenome data, which can provide important clues about soil microbial communities and their ecological roles.

Indexed as

MetagenomeSoilComputational BiologyMetagenomicsNeonNeonSoilmetagenomicsmicrobial ecologysoil microbiometutorialworkflow

Identifiers

PMID35707452
PMCPMC9178279
OpenAlexW3155662303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.