Evidence map›Paper›PMID 34225648›Full record

ReviewBMC bioinformatics2021

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): a specific and comprehensive pipeline for metagenomic shotgun sequencing data analysis.

Carlo Ferravante, Domenico Memoli, Domenico Palumbo, Paolo Ciaramella, Antonio Di Loria, Ylenia D'Agostino, Giovanni Nassa, Francesca Rizzo, Roberta Tarallo, Alessandro Weisz and 1 more

Abstract readReview
In one paragraph

Review in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. 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

11 authors.

Carlo Ferravante *Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Domenico Memoli *Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Domenico PalumboLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Paolo CiaramellaDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Via Delpino 1, 80137, Naples, Italy.
Antonio Di LoriaDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Via Delpino 1, 80137, Naples, Italy.
Ylenia D'AgostinoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Giovanni NassaLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Francesca RizzoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Roberta TaralloLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy.
Alessandro WeiszLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy. aweisz@unisa.it.
Giorgio GiuratoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, Via S. Allende, 1, 84081, Baronissi, SA, Italy. ggiurato@unisa.it.ORCID http://orcid.org/0000-0002-0538-8978

Funding

Dottorati Innovativi con caratterizzazione industriale XXXIV Ciclo Fellowship DOT1318705 CUP: E66C18000940007GENOMAeSALUTE POR Campania FESR 2014/2020 azione 1.5 CUP:B41C17000080007RarePlatNet 'LaCampania lotta contro il cancro' CUP:B63D18000380007
6 · The paper itself

Abstract

backgroundNext-Generation-Sequencing (NGS) enables detection of microorganisms present in biological and other matrices of various origin and nature, allowing not only the identification of known phyla and strains but also the discovery of novel ones. The large amount of metagenomic shotgun data produced by NGS require comprehensive and user-friendly pipelines for data analysis, that speed up the bioinformatics steps, relieving the users from the need to manually perform complex and time-consuming tasks.

resultsWe describe here HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities), an exhaustive pipeline for metagenomics data analysis, comprising three independent analytical modules designed for an inclusive analysis of large NGS datasets.

conclusionsHOME-BIO is a powerful and easy-to-use tool that can be run also by users with limited computational expertise. It allows in-depth analyses by removing low-complexity/ problematic reads, integrating the analytical steps that lead to a comprehensive taxonomy profile of each sample by querying different source databases, and it is customizable according to specific users' needs.

Indexed as

Data AnalysisMetagenomicsComputational BiologyHigh-Throughput Nucleotide SequencingMetagenomeSoftwareNext-Generation-SequencingPipelineShotgun metagenomics

Identifiers

PMID34225648
PMCPMC8256542

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.