Evidence map›Paper›PMID 38302873›Full record

ArticleBMC bioinformatics2024

ClusTrast: a short read de novo transcript isoform assembler guided by clustered contigs.

Karl Johan Westrin, Warren W Kretzschmar, Olof Emanuelsson

Abstract read
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Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Karl Johan WestrinScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Warren W KretzschmarScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, 171 65, Solna, Sweden.
Olof EmanuelssonScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, 171 65, Solna, Sweden. olofem@kth.se.

Funding

Svenska Forskningsrådet Formas 2013-650Vetenskapsrådet 2018-05973
6 · The paper itself

Abstract

backgroundTranscriptome assembly from RNA-sequencing data in species without a reliable reference genome has to be performed de novo, but studies have shown that de novo methods often have inadequate ability to reconstruct transcript isoforms. We address this issue by constructing an assembly pipeline whose main purpose is to produce a comprehensive set of transcript isoforms.

resultsWe present the de novo transcript isoform assembler ClusTrast, which takes short read RNA-seq data as input, assembles a primary assembly, clusters a set of guiding contigs, aligns the short reads to the guiding contigs, assembles each clustered set of short reads individually, and merges the primary and clusterwise assemblies into the final assembly. We tested ClusTrast on real datasets from six eukaryotic species, and showed that ClusTrast reconstructed more expressed known isoforms than any of the other tested de novo assemblers, at a moderate reduction in precision. For recall, ClusTrast was on top in the lower end of expression levels (<15% percentile) for all tested datasets, and over the entire range for almost all datasets. Reference transcripts were often (35-69% for the six datasets) reconstructed to at least 95% of their length by ClusTrast, and more than half of reference transcripts (58-81%) were reconstructed with contigs that exhibited polymorphism, measuring on a subset of reliably predicted contigs. ClusTrast recall increased when using a union of assembled transcripts from more than one assembly tool as primary assembly.

conclusionWe suggest that ClusTrast can be a useful tool for studying isoforms in species without a reliable reference genome, in particular when the goal is to produce a comprehensive transcriptome set with polymorphic variants.

Indexed as

High-Throughput Nucleotide SequencingTranscriptomeProtein IsoformsRNA-SeqSequence AnalysisSequence Analysis, RNAProtein IsoformsDe novo transcriptome assemblyGuiding contigsIsoform assemblyRecall/sensitivityRNA-seq

Identifiers

PMID38302873
PMCPMC10836024

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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.