Evidence map›Paper›PMID 26734060›Full record

ReviewFrontiers in genetics2015

The Road to Metagenomics: From Microbiology to DNA Sequencing Technologies and Bioinformatics.

Alejandra Escobar-Zepeda, Arturo Vera-Ponce de León, Alejandro Sanchez-Flores

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 3 pooled it
–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

136 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Review
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  9. Decoding the rhizosphere microbiome againstFrontiers in microbiomes · 2026
    Review
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  17. A review of neural networks for metagenomic binning.Briefings in bioinformatics · 2025
    Review
  18. Review
  19. Article
  20. Article

76 more citing papers are in PubMed but not listed here.

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

3 authors.

Alejandra Escobar-ZepedaUnidad de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México Cuernavaca, México.
Arturo Vera-Ponce de LeónPrograma de Ecología Genómica, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México Cuernavaca, México.
Alejandro Sanchez-FloresUnidad de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México Cuernavaca, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of microorganisms that pervade each and every part of this planet has encountered many challenges through time such as the discovery of unknown organisms and the understanding of how they interact with their environment. The aim of this review is to take the reader along the timeline and major milestones that led us to modern metagenomics. This new and thriving area is likely to be an important contributor to solve different problems. The transition from classical microbiology to modern metagenomics studies has required the development of new branches of knowledge and specialization. Here, we will review how the availability of high-throughput sequencing technologies has transformed microbiology and bioinformatics and how to tackle the inherent computational challenges that arise from the DNA sequencing revolution. New computational methods are constantly developed to collect, process, and extract useful biological information from a variety of samples and complex datasets, but metagenomics needs the integration of several of these computational methods. Despite the level of specialization needed in bioinformatics, it is important that life-scientists have a good understanding of it for a correct experimental design, which allows them to reveal the information in a metagenome.

Indexed as

bioinformaticsfunctional genomicshigh-throughput sequencingmetagenomicsmicrobiologytaxonomy

Identifiers

PMID26734060
PMCPMC4681832

What OpenQuestion holds

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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.