Evidence map›Paper›PMID 38241143›Full record

ArticleGigaScience2024

ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages.

Pedro G Nachtigall, Alan M Durham, Darin R Rokyta, Inácio L M Junqueira-de-Azevedo

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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 3 institutions in 2 countries.

Pedro G NachtigallLaboratório de Toxinologia Aplicada, CeTICS, Instituto Butantan, São Paulo, 05503-900 SP, Brazil.ORCID 0000-0002-3196-0173
Alan M DurhamDepartamento de Ciência da Computação, Instituto de Matemática e Estatística, Universidade de São Paulo (USP), São Paulo, 05508-090 SP, Brazil.ORCID 0000-0002-9846-6911
Darin R RokytaDepartment of Biological Science, Florida State University, Tallahassee, 32306-4295 FL, USA.ORCID 0000-0002-0356-2178
Inácio L M Junqueira-de-AzevedoLaboratório de Toxinologia Aplicada, CeTICS, Instituto Butantan, São Paulo, 05503-900 SP, Brazil.ORCID 0000-0003-4491-0180
Florida State University · USInstituto Butantan · BRUniversidade de São Paulo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07467-1National Science Foundation 1638902
6 · The paper itself

Abstract

backgroundThe rapid development of sequencing technologies resulted in a wide expansion of genomics studies using venomous lineages. This facilitated research focusing on understanding the evolution of adaptive traits and the search for novel compounds that can be applied in agriculture and medicine. However, the toxin annotation of genomes is a laborious and time-consuming task, and no consensus pipeline is currently available. No computational tool currently exists to address the challenges specific to toxin annotation and to ensure the reproducibility of the process.

resultsHere, we present ToxCodAn-Genome, the first software designed to perform automated toxin annotation in genomes of venomous lineages. This pipeline was designed to retrieve the full-length coding sequences of toxins and to allow the detection of novel truncated paralogs and pseudogenes. We tested ToxCodAn-Genome using 12 genomes of venomous lineages and achieved high performance on recovering their current toxin annotations. This tool can be easily customized to allow improvements in the final toxin annotation set and can be expanded to virtually any venomous lineage. ToxCodAn-Genome is fast, allowing it to run on any personal computer, but it can also be executed in multicore mode, taking advantage of large high-performance servers. In addition, we provide a guide to direct future research in the venomics field to ensure a confident toxin annotation in the genome being studied. As a case study, we sequenced and annotated the toxin repertoire of Bothrops alternatus, which may facilitate future evolutionary and biomedical studies using vipers as models.

conclusionsToxCodAn-Genome is suitable to perform toxin annotation in the genome of venomous species and may help to improve the reproducibility of further studies. ToxCodAn-Genome and the guide are freely available at https://github.com/pedronachtigall/ToxCodAn-Genome.

Indexed as

BothropsGenomeVenomous SnakesVenomsMolecular Sequence AnnotationReproducibility of ResultsSoftwareVenomsDNA-seqgene modelgenome annotationvenomicsWGS

Identifiers

PMID38241143
PMCPMC10797961
OpenAlexW4391025760

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.