Evidence map›Paper›PMID 36402995›Full record

ReviewBiological procedures online2022

Analysis and Interpretation of metagenomics data: an approach.

Gauri S Navgire, Neha Goel, Gifty Sawhney, Mohit Sharma, Prashant Kaushik, Yugal Kishore Mohanta, Tapan Kumar Mohanta, Ahmed Al-Harrasi

Erratum issuedAbstract readReview
In one paragraph

Review in Biological procedures online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Genomic insights intoMicrobiology spectrum · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Gauri S Navgire *Department of Microbiology, Savitribai Phule Pune University, Pune, Maharastra, 411007, India.
Neha Goel *Department of Genetics and Tree Improvement, Forest Research Institute, 248006, Dehradun, India.
Gifty SawhneyInflammation Pharmacology Division, Academy of Scientific and Innovative Research (AcSIR), CSIR-Indian Institute of Integrative Medicine, Jammu-180001, Jammu Kashmir, India.
Mohit SharmaDepartment of Molecular Medicine, Medical University of Warsaw and Malopolska Center of Biotechnology, Karkow, Poland.
Prashant KaushikIndependent Researcher, Valencia, Spain.
Yugal Kishore MohantaUniversity of Science and Technology Meghalaya, Baridua, 793101, Meghalaya, India.
Tapan Kumar MohantaNatural and Medical Sciences Research Center, University of Nizwa, Nizwa, 616, Oman. nostoc.tapan@gmail.com.
Ahmed Al-HarrasiNatural and Medical Sciences Research Center, University of Nizwa, Nizwa, 616, Oman. aharrasi@unizwa.edu.om.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next-generation sequencing technologies have accelerated the momentum of metagenomic studies, which is increasing yearly. The metagenomics field is one of the versatile applications in microbiology, where any interaction in the environment involving microorganisms can be the topic of study. Due to this versatility, the number of applications of this omics technology reached its horizons. Agriculture is a crucial sector involving crop plants and microorganisms interacting together. Hence, studying these interactions through the lenses of metagenomics would completely disclose a new meaning to crop health and development. The rhizosphere is an essential reservoir of the microbial community for agricultural soil. Hence, we focus on the R&D of metagenomic studies on the rhizosphere of crops such as rice, wheat, legumes, chickpea, and sorghum. These recent developments are impossible without the continuous advancement seen in the next-generation sequencing platforms; thus, a brief introduction and analysis of the available sequencing platforms are presented here to have a clear picture of the workflow. Concluding the topic is the discussion about different pipelines applied to analyze data produced by sequencing techniques and have a significant role in interpreting the outcome of a particular experiment. A plethora of different software and tools are incorporated in the automated pipelines or individually available to perform manual metagenomic analysis. Here we describe 8-10 advanced, efficient pipelines used for analysis that explain their respective workflows to simplify the whole analysis process.

Indexed as

AnalysisCropsMetagenomicsNext-generation sequencingPipelines

Identifiers

PMID36402995
PMCPMC9675974

What OpenQuestion holds

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Registered trials

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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.