Evidence map›Paper›PMID 28482090›Full record

ArticleNucleic acids research2017

P4P: a peptidome-based strain-level genome comparison web tool.

Aitor Blanco-Míguez, Florentino Fdez-Riverola, Anália Lourenço, Borja Sánchez

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aitor Blanco-MíguezESEI-Department of Computer Science, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas S/N 32004, Ourense, Spain.
Florentino Fdez-RiverolaESEI-Department of Computer Science, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas S/N 32004, Ourense, Spain.
Anália LourençoESEI-Department of Computer Science, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas S/N 32004, Ourense, Spain.
Borja SánchezCEB-Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptidome similarity analysis enables researchers to gain insights into differential peptide profiles, providing a robust tool to discriminate strain-specific peptides, true intra-species differences among biological replicates or even microorganism-phenotype variations. However, no in silico peptide fingerprinting software existed to facilitate such phylogeny inference. Hence, we developed the Peptidomes for Phylogenies (P4P) web tool, which enables the survey of similarities between microbial proteomes and simplifies the process of obtaining new biological insights into their phylogeny. P4P can be used to analyze different peptide datasets, i.e. bacteria, viruses, eukaryotic species or even metaproteomes. Also, it is able to work with whole proteome datasets and experimental mass-to-charge lists originated from mass spectrometers. The ultimate aim is to generate a valid and manageable list of peptides that have phylogenetic signal and are potentially sample-specific. Sample-to-sample comparison is based on a consensus peak set matrix, which can be further submitted to phylogenetic analysis. P4P holds great potential for improving phylogenetic analyses in challenging taxonomic groups, biomarker identification or epidemiologic studies. Notably, P4P can be of interest for applications handling large proteomic datasets, which it is able to reduce to small matrices while maintaining high phylogenetic resolution. The web server is available at http://sing-group.org/p4p.

Indexed as

Peptide MappingPhylogenyProteomicsSoftwareBacillus cereusBacteriaBifidobacterium animalisInternetPeptidesProteomeRalstonia solanacearumPeptidesProteome

Identifiers

PMID28482090
PMCPMC5570244

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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.