Evidence map›Paper›PMID 39448913›Full record

ArticleBMC bioinformatics2024

DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms.

Kyle Christian L Santiago, Anish M S Shrestha

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. 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.

Kyle Christian L SantiagoBioinformatics Lab, Advanced Research Institute for Informatics, Computing, and Networking, De La Salle University Manila, 2401 Taft Avenue, Manila, Philippines.
Anish M S ShresthaBioinformatics Lab, Advanced Research Institute for Informatics, Computing, and Networking, De La Salle University Manila, 2401 Taft Avenue, Manila, Philippines. anish.shrestha@dlsu.edu.ph.ORCID http://orcid.org/0000-0002-9192-9709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional differential gene expression analysis pipelines for non-model organisms require computationally expensive transcriptome assembly. We recently proposed an alternative strategy of directly aligning RNA-seq reads to a protein database, and demonstrated drastic improvements in speed, memory usage, and accuracy in identifying differentially expressed genes.

resultHere we report a further speed-up by replacing DNA-protein alignment by quasi-mapping, making our pipeline > 1000× faster than assembly-based approach, and still more accurate. We also compare quasi-mapping to other mapping techniques, and show that it is faster but at the cost of sensitivity.

conclusionWe provide a quick-and-dirty differential gene expression analysis pipeline for non-model organisms without a reference transcriptome, which directly quasi-maps RNA-seq reads to a reference protein database, avoiding computationally expensive transcriptome assembly.

Indexed as

Gene Expression ProfilingDNAProteinsSequence AlignmentTranscriptomeDNAProteinsDifferential gene expression analysisDNA-protein alignmentNon-model organismQuasi-mappingRNA-seq

Identifiers

PMID39448913
PMCPMC11515663

What OpenQuestion holds

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LicenceCC BY
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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.