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Updated: Jun 9, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms
Kyle Christian L Santiago1,2, Anish M S Shrestha3,4
1Bioinformatics Lab, Advanced Research Institute for Informatics, Computing, and Networking, De La Salle University Manila, 2401 Taft Avenue, Manila, Philippines.
Background:
Conventional 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.
Result:
Here 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.
Conclusion:
We 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.
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