Evidence map›Paper›PMID 39494269›Full record

ArticlePeerJ2024

FastProtein-an automated software for

Renato Simões Moreira, Vilmar Benetti Filho, Guilherme Augusto Maia, Tatiany Aparecida Teixeira Soratto, Eric Kazuo Kawagoe, Bruna Caroline Russi, Luiz Cláudio Miletti, Glauber Wagner

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Renato Simões MoreiraInstituto Federal de Santa Catarina, Gaspar, Santa Catarina, Brazil.
Vilmar Benetti FilhoDepartamento de Microbiologia, Parasitologia e Imunologia, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Guilherme Augusto MaiaDepartamento de Microbiologia, Parasitologia e Imunologia, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Tatiany Aparecida Teixeira SorattoDepartamento de Microbiologia, Parasitologia e Imunologia, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Eric Kazuo KawagoeDepartamento de Microbiologia, Parasitologia e Imunologia, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Bruna Caroline RussiInstituto Federal de Santa Catarina, Gaspar, Santa Catarina, Brazil.
Luiz Cláudio MilettiCentro de Ciências Agroveterinárias, Universidade do Estado de Santa Catarina, Lages, Santa Catarina, Brazil.
Glauber WagnerDepartamento de Microbiologia, Parasitologia e Imunologia, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although various tools provide proteomic information, each tool has limitations related to execution platforms, libraries, versions, and data output format. Integrating data generated from different software is a laborious process that can prolong analysis time. Here, we present FastProtein, a protein analysis pipeline that is user-friendly, easily installable, and outputs important information about subcellular location, transmembrane domains, signal peptide, molecular weight, isoelectric point, hydropathy, aromaticity, gene ontology, endoplasmic reticulum retention domains, and N-glycosylation domains. It also helps determine the presence of glycosylphosphatidylinositol and obtain functional information from InterProScan, PANTHER, Pfam, and alignment-based annotation searches. FastProtein provides the scientific community with an easy-to-use computational tool for proteomic data analysis. It is applicable to both small datasets and proteome-wide studies. It can be used through the command line interface mode or a web interface installed on a local server. FastProtein significantly enhances proteomics analysis workflows by producing multiple results in a single-step process, thereby streamlining and accelerating the overall analysis. The software is open-source and freely available. Installation and execution instructions, as well as the source code and test files generated for tool validation, are available at https://github.com/bioinformatics-ufsc/FastProtein.

Indexed as

ProteomicsSoftwareComputational BiologyComputer SimulationDatabases, ProteinHumansDockerProteomicsUser-friendly proteomicsWeb-based software

Identifiers

PMID39494269
PMCPMC11531748

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.