Evidence map›Paper›PMID 41542363›Full record

ArticleBioinformatics advances2026

Pipeasm: a tool for automated large chromosome-scale genome assembly and evaluation.

Bruno Marques Silva, Fernanda de Jesus Trindade, Lucas Eduardo Costa Canesin, Giordano Souza, Alexandre Aleixo, Gisele Nunes, Renato Renison Moreira-Oliveira

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Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Bruno Marques SilvaEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0002-1311-9823
Fernanda de Jesus TrindadeEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0002-4112-2624
Lucas Eduardo Costa CanesinEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0009-0006-3324-8389
Giordano SouzaEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0001-6590-5589
Alexandre AleixoEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0002-7816-9725
Gisele NunesEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0003-3994-5135
Renato Renison Moreira-OliveiraEnvironmental Genomics, Instituto Tecnológico Vale, Belém, Pará 66055-090, Brazil.ORCID https://orcid.org/0000-0002-0111-8209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Although high-quality chromosome-scale genome assemblies are feasible, assembling large ones remains complex and resource-intensive. This demands reproducible and automated workflows that not only implement current best practices efficiently but also allow for improvement alongside future updates to those standards. Results: We present Pipeasm, a Snakemake-based genome assembly pipeline containerized with Singularity. Pipeasm can use HiFi, ONT, and Hi-C data, automating read trimming, nuclear and mitogenome assembly, scaffolding, decontamination, and quality evaluation. Applied to four vertebrate species with distinct genomic characteristics, starting from a single command line and configuration file, it produced assemblies with scaffold L50 proportional to the expected chromosome and genome length, and up to 99.6% BUSCO completeness. Its output also includes detailed reports for each step, genome statistics, Hi-C maps, and files ready for curation. Availability and implementation: Pipeasm is available at https://github.com/itvgenomics/pipeasm, implemented in Python/Snakemake with Singularity, and runs on Unix-based systems.

Identifiers

PMID41542363
PMCPMC12800776

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LicenceCC BY
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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.