Autor: |
Kyle Christian L. Santiago, Anish M. S. Shrestha |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
BMC Bioinformatics, Vol 25, Iss S2, Pp 1-15 (2024) |
Druh dokumentu: |
article |
ISSN: |
1471-2105 |
DOI: |
10.1186/s12859-024-05924-1 |
Popis: |
Abstract 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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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