Fusion Transcript Detection from Short-Read RNA-Seq.

Melissa Zwaig, Corinne Darmond, Madeleine Arseneault, Yasser Riazalhosseini, Jiannis Ragoussis

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Melissa ZwaigVictor Philip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, Canada.

Corinne DarmondVictor Philip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, Canada.

Madeleine ArseneaultVictor Philip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, Canada.

Yasser RiazalhosseiniVictor Philip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, Canada.

Jiannis RagoussisVictor Philip Dahdaleh Institute of Genomic Medicine at McGill University, Montreal, QC, Canada. ioannis.ragoussis@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusion proteins have been shown to play an important role in many different cancers and other diseases. While the causal mutation can often be found in the genome as a structural variant (SV), differentiating between normal variation within individuals and somatic variants with functional consequences can be time-consuming as well as expensive since it requires a whole-genome sequencing (WGS) method. RNA Sequencing (RNA-Seq) provides a much cheaper and more straightforward approach to the detection of functional somatic events such as overexpression of proto-oncogenes as well as gene fusion. This chapter aims to discuss the utility of RNA-Seq for fusion detection as well as provide a detailed analysis pipeline for the detection of fusion transcripts.

Indexed as

Gene FusionOncogene Proteins, FusionRNA-SeqSequence Analysis, RNAComputational BiologyHigh-Throughput Nucleotide SequencingHumansNeoplasmsOncogene Proteins, FusionFusion detectionGene fusionRNA-Seq

Identifiers

PMID39900758

DOI10.1186/1471-2199-7-3

What OpenQuestion holds

Textmetadata

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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.