Evidence map›Paper›PMID 42400787›Full record

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

Assembly of a Full-Length Chimeric RNA Transcriptome.

Justin Elfman, Hui Li

Abstract read
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In one paragraph

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.

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

2 authors.

Justin ElfmanDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
Hui LiDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, USA. hl9r@virginia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric RNAs are a class of understudied transcripts, characterized by their possession of sequence from two unique annotated parental transcripts. Definitionally, chimeric RNAs exist within gaps in annotation, and most efforts to catalog chimeric RNAs at scale have leveraged short-read paired-end RNAseq. While these have successfully established putative "chimeromes" in different tissue and disease contexts, chimeric RNAs predicted via short-read sequencing are defined by the chimeric exon-exon junction, and cannot provide information on the full-length isoforms which contain this junction. These gaps can be remedied by integration of these predictions with full-length, single-molecule, long-read sequencing. In this chapter, we provide instruction on how to integrate long-read sequencing with existing chimeric RNA predictions to establish full-length annotations of long-read transcripts.

Indexed as

Computational BiologyGene Expression ProfilingRNASequence Analysis, RNATranscriptomeAnimalsExonsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationRNAChimeric RNAChimeromeFull-length isoformsLong-read RNAseqTranscript assembly

Identifiers

PMID42400787

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.