Evidence map›Paper›PMID 29942087›Full record

ArticleScientific reports2018

Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes.

Allan Veras, Fabricio Araujo, Kenny Pinheiro, Luis Guimarães, Vasco Azevedo, Siomar Soares, Artur da Costa da Silva, Rommel Ramos

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. First Steps in the Analysis of Prokaryotic Pan-Genomes.Bioinformatics and biology insights · 2020
    Review
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

8 authors.

Allan VerasInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Fabricio AraujoInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Kenny PinheiroInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Luis GuimarãesInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Vasco AzevedoInstitute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Siomar SoaresInstitute of Biological Sciences, Federal University of Triângulo Mineiro, Uberaba, Brazil.ORCID 0000-0001-7299-3724
Artur da Costa da SilvaInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil.ORCID 0000-0002-4082-1132
Rommel RamosInstitute of Biological Sciences, Federal University of Pará, Belém, Brazil. rommelthiago@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing technologies are a milestone in molecular biology for facilitating great advances in genomics by enabling the deposit of large volumes of biological data to public databases. The availability of such data has made possible the comparative genomic analysis through pipelines, using the entire gene repertoire of genomes. However, a large number of unfinished genomes exist in public databases; their number is approximately 16-fold higher than the number of complete genomes, which creates bias during comparative analyses. Therefore, the present work proposes a new tool called Pan4Drafts, an automated pipeline for pan-genomic analysis of draft prokaryotic genomes to maximize the representation and accuracy of the gene repertoire of unfinished genomes by using reads from sequencing data. Pan4Draft allows to perform comparative analyses using different methodologies such as combining complete and draft genomes, using only draft genomes or only complete genomes. Pan4Draft is available at http://www.computationalbiology.ufpa.br/pan4drafts and the test dataset is available at https://sourceforge.net/projects/pan4drafts .

Indexed as

SoftwareDatabases, GeneticGenomicsMolecular Sequence AnnotationReference StandardsUser-Computer Interface

Identifiers

PMID29942087
PMCPMC6018222

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.