Evidence map›Paper›PMID 41808444›Full record

ArticleBioinformatics (Oxford, England)2026

PULPO: pipeline of understanding large-scale patterns of oncogenomic signatures.

Marta Portasany-Rodríguez, Gonzalo Soria-Alcaide, Elena G Sánchez, Mariya Ivanova, Ana Gómez, Reyes Giménez, Jaanam Lalchandani, Gonzalo García-Aguilera, Silvia Alemán-Arteaga, Cristina Saiz-Ladera and 2 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. 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

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

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

12 authors.

Marta Portasany-RodríguezOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0009-0009-0569-5669
Gonzalo Soria-AlcaideOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0001-5141-2177
Elena G SánchezOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0003-2379-8126
Mariya IvanovaOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0002-1585-9841
Ana GómezOncohematology Department, Hospital Infantil Universitario Niño Jesús (HNJS), Madrid 28009, Spain.
Reyes GiménezOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.
Jaanam LalchandaniOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0009-0008-2362-8323
Gonzalo García-AguileraOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0002-5646-8177
Silvia Alemán-ArteagaOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0002-9655-2242
Cristina Saiz-LaderaOncohematology Department, Fundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid 28009, Spain.ORCID 0000-0001-8094-5992
Manuel Ramírez-OrellanaOncohematology Department, Hospital Infantil Universitario Niño Jesús (HNJS), Madrid 28009, Spain.ORCID 0000-0003-0332-6973
Jorge Garcia-MartinezOncohematology Department, Instituto de Investigación Sanitaria La Princesa (IISLP), Madrid 28006, Spain.ORCID 0000-0003-1566-8145

Funding

Familia Alonso Foundation
6 · The paper itself

Abstract

summaryPULPO v1.0 is a novel; fully automated pipeline designed for the preprocess and extraction of mutational signatures from raw Optical Genome Mapping (OGM) data. Built using Snakemake and executed within an isolated, Conda-managed environment, PULPO transforms complex cytogenetic alterations, captured at ultra-high resolution, into Catalogue of somatic mutations in cancer mutational signatures (COSMIC). This innovative approach not only enables researchers to work directly from raw OGM inputs but also streamlines the traditionally complex process of signature extraction, making advanced oncogenomic analyses accessible to users with varying levels of bioinformatics expertise. By facilitating the integration of comprehensive structural variants (SVs) and copy number variants (CNVs) data with established signature catalogues, PULPO paves the way for improved diagnostic accuracy and personalized therapeutic strategies. AVAILABILITY AND IMPLEMENTATION: The pipeline is open source and freely available under the MIT License at https://github.com/OncologyHNJ/PULPO-v.1.0 and DOI in Zenodo: https://zenodo.org/records/17749097.

Indexed as

Computational BiologyGenomicsNeoplasmsSoftwareChromosome MappingDNA Copy Number VariationsHumansMutation

Identifiers

PMID41808444
PMCPMC13224964

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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.