Evidence map›Paper›PMID 27220974›Full record

ArticleMicrobial ecology2016

BMPOS: a Flexible and User-Friendly Tool Sets for Microbiome Studies.

Victor S Pylro, Daniel K Morais, Francislon S de Oliveira, Fausto G Dos Santos, Leandro N Lemos, Guilherme Oliveira, Luiz F W Roesch

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Frontiers in genetics · 2020
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  8. Observational
  9. Article
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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

7 authors.

Victor S PylroGenomics and Computational Biology Group, René Rachou Research Center (CPqRR-FIOCRUZ), Belo Horizonte, MG, 30190-002, Brazil. victor.pylro@brmicrobiome.org.
Daniel K MoraisGenomics and Computational Biology Group, René Rachou Research Center (CPqRR-FIOCRUZ), Belo Horizonte, MG, 30190-002, Brazil.
Francislon S de OliveiraGenomics and Computational Biology Group, René Rachou Research Center (CPqRR-FIOCRUZ), Belo Horizonte, MG, 30190-002, Brazil.
Fausto G Dos SantosGenomics and Computational Biology Group, René Rachou Research Center (CPqRR-FIOCRUZ), Belo Horizonte, MG, 30190-002, Brazil.
Leandro N LemosPrograma de Pós-graduação Interunidades em Bioinformática, Instituto de Química - IQ, Universidade de São Paulo - USP, São Paulo, SP, Brazil.
Guilherme OliveiraVale Institute of Technology - ITV, Belém, PA, Brazil.
Luiz F W RoeschUniversidade Federal do Pampa - UNIPAMPA, São Gabriel, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in science and technology are leading to a revision and re-orientation of methodologies, addressing old and current issues under a new perspective. Advances in next generation sequencing (NGS) are allowing comparative analysis of the abundance and diversity of whole microbial communities, generating a large amount of data and findings at a systems level. The current limitation for biologists has been the increasing demand for computational power and training required for processing of NGS data. Here, we describe the deployment of the Brazilian Microbiome Project Operating System (BMPOS), a flexible and user-friendly Linux distribution dedicated to microbiome studies. The Brazilian Microbiome Project (BMP) has developed data analyses pipelines for metagenomic studies (phylogenetic marker genes), conducted using the two main high-throughput sequencing platforms (Ion Torrent and Illumina MiSeq). The BMPOS is freely available and possesses the entire requirement of bioinformatics packages and databases to perform all the pipelines suggested by the BMP team. The BMPOS may be used as a bootable live USB stick or installed in any computer with at least 1 GHz CPU and 512 MB RAM, independent of the operating system previously installed. The BMPOS has proved to be effective for sequences processing, sequences clustering, alignment, taxonomic annotation, statistical analysis, and plotting of metagenomic data. The BMPOS has been used during several metagenomic analyses courses, being valuable as a tool for training, and an excellent starting point to anyone interested in performing metagenomic studies. The BMPOS and its documentation are available at http://www.brmicrobiome.org .

Indexed as

MicrobiotaSoftwareBacteriological TechniquesBrazilDatabases, GeneticGenetic MarkersHigh-Throughput Nucleotide SequencingMetagenomicsPhylogenySequence Analysis, DNAGenetic MarkersBioinformaticsBMPLinuxMicrobiomeOperating system

Identifiers

What OpenQuestion holds

Textmetadata
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.