Evidence map›Paper›PMID 41864892›Full record

ArticleBMC genomics2026

crocketa: an automated Snakemake framework for integrated single-cell transcriptome and immune-repertoire analysis.

Gonzalo Soria-Alcaide, Gonzalo García-Aguilera, Marta Portasany-Rodríguez, Jaanam Lalchandani, África González-Murillo, Elena G Sánchez, Cristina Saiz-Ladera, Manuel Ramírez-Orellana, Jorge Garcia-Martinez

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Gonzalo Soria-AlcaideFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.ORCID http://orcid.org/0000-0001-5141-2177
Gonzalo García-AguileraFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Marta Portasany-RodríguezFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Jaanam LalchandaniFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
África González-MurilloFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Elena G SánchezFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Cristina Saiz-LaderaFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Manuel Ramírez-OrellanaFundación para la Investigación Biomédica Hospital Infantil Universitario Niño Jesús (FIBHNJS), Madrid, Spain.
Jorge Garcia-MartinezFundación para la Investigación Biomédica Hospital Universitario la Princesa (FIBHUP), Madrid, Spain. xurde.garcia.martinez@gmail.com.

Funding

Instituto de Salud Carlos III, Spain PMP21/00088, PI23/00703
6 · The paper itself

Abstract

crocketa (single-Cell Repertoire Organization & Combined Kinetics Exploration for Transcriptomic Analysis) is an automated and adaptable Snakemake pipeline designed to perform fundamental initial stages of single-cell analysis for both transcriptomic and immune repertoire data, with additional steps for detailed assay characterization. crocketa stems from the imperative need to devise an optimal methodology for integrating and analyzing single-cell RNA sequencing (scRNA-seq) alongside single-cell T-cell Receptor (scTCR-seq) or B-Cell Receptor (scBCR-seq) data in an automated way by means of state-of-the-art tools. This pipeline encompasses basic steps from primary & secondary scRNA-seq along with the incorporation and analysis of immune repertoire, capable of accommodating both human and mouse datasets. crocketa addresses this need by providing a reproducible and automated framework for integrated analysis of single-cell transcriptomic and immune-repertoire data.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisSoftwareTranscriptomeAnimalsHumansMiceReceptors, Antigen, B-CellReceptors, Antigen, T-CellSequence Analysis, RNASingle-Cell Gene Expression AnalysisReceptors, Antigen, B-CellReceptors, Antigen, T-CellBCRClonotypeImmune repertoireImmunologyPipelinescRNAseqTCR

Identifiers

PMID41864892
PMCPMC13147795

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Registered trials

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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.