MultiOmics · Ressources

Références scientifiques

Ces articles documentent les méthodes, sans prouver leur exécution ou leur validation indépendante sur vos données. Vérifiez le manifeste de méthodes exporté pour connaître les calculs réellement exécutés.

1. DESeq2 — Love, Huber & Anders (2014) — Genome Biology 15:550

   RNA-seq differential expression

   https://doi.org/10.1186/s13059-014-0550-8 ↗
2. limma — Ritchie et al. (2015) — Nucleic Acids Research 43:e47

   Linear modelling and empirical Bayes

   https://doi.org/10.1093/nar/gkv007 ↗
3. fgsea — Korotkevich et al. (2021) — bioRxiv preprint, 060012

   Fast preranked gene set enrichment

   https://doi.org/10.1101/060012 ↗
4. MOFA2 — Argelaguet et al. (2020) — Genome Biology 21:111

   Multi-omics factor analysis

   https://doi.org/10.1186/s13059-020-02015-1 ↗
5. DIABLO — Singh et al. (2019) — Bioinformatics 35:3055–3062

   Multi-block omics integration

   https://doi.org/10.1093/bioinformatics/bty1054 ↗
6. xcms — Smith et al. (2006) — Analytical Chemistry 78:779–787

   Mass-spectrometry feature detection

   https://doi.org/10.1021/ac051437y ↗
7. Reactome — official documentation — Curated biological pathways

   Pathway provenance and mappings

   https://reactome.org/ ↗
8. MultiOmics — source and citation file — Versioned software and qualification workflows

   Cite the actual software version

   https://github.com/rberrah/MultiOmics/blob/main/CITATION.cff ↗