Evidence map›Paper›PMID 41174203›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Hybrid MPI/OpenMP Implementation of RIblast for Transcriptome-Scale lncRNA-RNA Interaction Prediction.

Iñaki Amatria-Barral, Jorge González-Domínguez, Juan Touriño

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Article in Methods in molecular biology (Clifton, N.J.), 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

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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

3 authors.

Iñaki Amatria-BarralComputer Architecture Group, CITIC, Universidade da Coruña, Coruña, Spain. i.amatria@udc.es.ORCID https://orcid.org/0000-0002-2602-4874
Jorge González-DomínguezComputer Architecture Group, CITIC, Universidade da Coruña, Coruña, Spain.ORCID https://orcid.org/0000-0002-2394-7032
Juan TouriñoComputer Architecture Group, CITIC, Universidade da Coruña, Coruña, Spain.ORCID https://orcid.org/0000-0001-9670-1933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because the identification of RNA interaction partners for each long noncoding RNA (lncRNA) has proven to be a powerful approach for inferring lncRNA functions, numerous tools have been developed to predict lncRNA-RNA interactions. However, their application at the transcriptome scale has been hindered by high computational costs. In this chapter, we introduce pRIblast, a hybrid MPI/OpenMP implementation of the RIblast algorithm designed for large-scale lncRNA-RNA interaction analyses. pRIblast leverages cluster environments and supercomputing facilities to reduce the computational costs of these studies dramatically. Moreover, pRIblast has been thoroughly optimized, and it can take on huge datasets that were impossible to analyze with the former RIblast algorithm.

Indexed as

Computational BiologyRNA, Long NoncodingSoftwareTranscriptomeAlgorithmsGene Expression ProfilingHumansRNA, Long NoncodingHigh-performance computinglncRNAlncRNA–RNA interactionMPIOpenMPTranscriptome-scale analysis

Identifiers

PMID41174203

What OpenQuestion holds

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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.