Evidence map›Paper›PMID 34048479›Full record

ArticlePloS one2021

PAN2HGENE-tool for comparative analysis and identifying new gene products.

Mônica Silva de Oliveira, Jorianne Thyeska Castro Alves, Pablo Henrique Caracciolo Gomes de Sá, Adonney Allan de Oliveira Veras

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.6field-weighted citation impact, top 36% 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, 7 citations in OpenAlex.

  1. Article
  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

4 authors at 3 institutions in 1 country.

Mônica Silva de OliveiraPostgraduate Program in Applied Computing, Federal University of Pará Campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.
Jorianne Thyeska Castro AlvesPará State University Campus Marabá (UEPA), Pará, Brazil.
Pablo Henrique Caracciolo Gomes de SáFederal Rural University of Amazonia Campus Tomé-Açu (UFRA), Pará, Brazil.
Adonney Allan de Oliveira VerasPostgraduate Program in Applied Computing, Federal University of Pará Campus Tucuruí (CAMTUC-UFPA), Pará, Brazil.ORCID 0000-0002-7227-0590
Universidade Federal do Pará · BRUniversidade do Estado do Pará · BRUniversidade Federal Rural da Amazônia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next-generation sequencing (NGS) platforms have had a positive impact on biological research, leading to the development of numerous omics approaches, including genomics, transcriptomics, metagenomics, and pangenomics. These analyses provide insights into the gene contents of various organisms. However, to understand the evolutionary processes of these genes, comparative analysis, which is an important tool for annotation, is required. Using comparative analysis, it is possible to infer the functions of gene contents and identify orthologs and paralogous genes via their homology. Although several comparative analysis tools currently exist, most of them are limited to complete genomes. PAN2HGENE, a computational tool that allows identification of gene products missing from the original genome sequence, with automated comparative analysis for both complete and draft genomes, can be used to address this limitation. In this study, PAN2HGENE was used to identify new products, resulting in altering the alpha value behavior in the pangenome without altering the original genomic sequence. Our findings indicate that this tool represents an efficient alternative for comparative analysis, with a simple and intuitive graphical interface. The PAN2HGENE have been uploaded to SourceForge and are available via: https://sourceforge.net/projects/pan2hgene-software.

Indexed as

SoftwareComputational BiologyGenomicsHigh-Throughput Nucleotide SequencingMetagenomicsTranscriptome

Identifiers

PMID34048479
PMCPMC8162609
OpenAlexW3164731295

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.