Evidence map›Paper›PMID 36482896›Full record

ArticleFrontiers in genetics2022

AnnotaPipeline: An integrated tool to annotate eukaryotic proteins using multi-omics data.

Guilherme Augusto Maia, Vilmar Benetti Filho, Eric Kazuo Kawagoe, Tatiany Aparecida Teixeira Soratto, Renato Simões Moreira, Edmundo Carlos Grisard, Glauber Wagner

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Guilherme Augusto MaiaLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Vilmar Benetti FilhoLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Eric Kazuo KawagoeLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Tatiany Aparecida Teixeira SorattoLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Renato Simões MoreiraLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Edmundo Carlos GrisardLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.
Glauber WagnerLaboratório de Bioinformática, Universidade Federal de Santa Catarina (UFSC), Campus João David Ferreira Lima, Florianópolis, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assignment of gene function has been a crucial, laborious, and time-consuming step in genomics. Due to a variety of sequencing platforms that generates increasing amounts of data, manual annotation is no longer feasible. Thus, the need for an integrated, automated pipeline allowing the use of experimental data towards validation of

Indexed as

functional annotationgenome annotationhypothetical proteinsproteogenomicsworkflow

Identifiers

PMID36482896
PMCPMC9723129

What OpenQuestion holds

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LicenceCC BY
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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.