Salmon

Overview – Salmon: Fast, accurate and bias-aware transcript quantification from RNA-seq data Home About Contact Getting Started Documentation Code Binaries FAQ Your browser is quite old! Why not upgrade to a different browser to better enjoy this site? Salmon —Don't count . . . quantify! Overview Salmon is a tool for quantifying the expression of transcripts using RNA-seq data.

Salmon uses new algorithms (specifically, coupling the concept of quasi-mapping with a two-phase inference procedure) to provide accurate expression estimates very quickly (i.e. wicked-fast ) and while using little memory. Salmon performs its inference using an expressive and realistic model of RNA-seq data that takes into account experimental attributes and biases commonly observed in real RNA-seq data.

Citing Salmon If you find Salmon useful, or have suggestions for improvement, please let us know! If you use Salmon in your work, please cite the Salmon paper: Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017). Salmon provides fast and bias-aware quantification of transcript expression. Nature Methods. You can find other citation formats on Google Scholar here .