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In silico analysis of RNA-seq requires a more complete description of methodology

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The computational analysis of RNA-seq data — from raw reads to transcript quantification — requires the sequential use of specific tools and biological references, the combination of which determines the results. The combinatorial nature of the RNA-seq pipeline necessitates a complete description of all computational choices and parameters to ensure reproducibility.

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References

  1. Conesa, A. et al. A survey of best practices for RNA-seq data analysis. Genome Biol. 17, 13 (2016).

    Article  Google Scholar 

  2. Teng, M. et al. A benchmark for RNA-seq quantification pipelines. Genome Biol. 17, 74 (2016).

    Article  Google Scholar 

  3. Baruzzo, G. et al. Simulation-based comprehensive benchmarking of RNA-seq aligners. Nat. Methods 14, 135–139 (2017).

    Article  CAS  Google Scholar 

  4. Sahraeian, S. M. E. et al. Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis. Nat. Commun. 8, 59 (2017).

    Article  Google Scholar 

  5. Shi, L. et al. The International MAQC Society launches to enhance reproducibility of high-throughput technologies. Nat. Biotechnol. 35, 1127–1128 (2017).

    Article  CAS  Google Scholar 

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Correspondence to Michelle S. Scott.

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Related links

Functional Genomics Data Society: minimum information about a high-throughput SEQuencing experiment: http://fged.org/site_media/pdf/MINSEQE_1.0.pdf

Gene Expression Omnibus: https://www.ncbi.nlm.nih.gov/geo/

Zenodo: https://zenodo.org/

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Simoneau, J., Scott, M.S. In silico analysis of RNA-seq requires a more complete description of methodology. Nat Rev Mol Cell Biol 20, 451–452 (2019). https://doi.org/10.1038/s41580-019-0137-z

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