Evidence map›Paper›PMID 36498841›Full record

ArticleInternational journal of molecular sciences2022

hgtseq: A Standard Pipeline to Study Horizontal Gene Transfer.

Simone Carpanzano, Mariangela Santorsola, Nf-Core Community, Francesco Lescai

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
0.2field-weighted citation impact, top 51% 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, 3 citations in OpenAlex.

  1. The authors respond to feedback onFrontiers in oncology · 2026
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  2. bioRxiv : the preprint server for biology · 2025
    Article
  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 1 institution in 1 country.

Simone CarpanzanoDepartment of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-7302-8544
Mariangela SantorsolaDepartment of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0001-8514-932X
Nf-Core CommunityDepartment of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy.
Francesco LescaiDepartment of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-6399-9101
University of Pavia · IT

Funding

University of Pavia FRG - Fondo Ricerca & Giovani
6 · The paper itself

Abstract

Horizontal gene transfer (HGT) is well described in prokaryotes: it plays a crucial role in evolution, and has functional consequences in insects and plants. However, less is known about HGT in humans. Studies have reported bacterial integrations in cancer patients, and microbial sequences have been detected in data from well-known human sequencing projects. Few of the existing tools for investigating HGT are highly automated. Thanks to the adoption of Nextflow for life sciences workflows, and to the standards and best practices curated by communities such as nf-core, fully automated, portable, and scalable pipelines can now be developed. Here we present nf-core/hgtseq to facilitate the analysis of HGT from sequencing data in different organisms. We showcase its performance by analysing six exome datasets from five mammals. Hgtseq can be run seamlessly in any computing environment and accepts data generated by existing exome and whole-genome sequencing projects; this will enable researchers to expand their analyses into this area. Fundamental questions are still open about the mechanisms and the extent or role of horizontal gene transfer: by releasing hgtseq we provide a standardised tool which will enable a systematic investigation of this phenomenon, thus paving the way for a better understanding of HGT.

Indexed as

Evolution, MolecularGene Transfer, HorizontalAnimalsBacteriaBase SequenceHumansMammalsPhylogenyProkaryotic Cellsbioinformatic pipelinesexomehorizontal gene transfermicrobiomesequencing

Identifiers

PMID36498841
PMCPMC9738810
OpenAlexW4309570391

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.