Nat Methods：新型计算方法或能更加精准地分析基因表达状况

Salmon provides fast and bias-aware quantification of transcript expression

日前，一项刊登在国际杂志NaCre Methods上的研究报告中，来自美国卡内基梅隆大学等机构的研究人员通过研究开发了一种新型的计算方法，该方法能够有效改善对基因表达分析的准确性。研究人员或有望利用该方法来诊断并且监测癌症。同时或许也能够促进基础生物学的研究进展。

We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA-seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure. It is the first transcriptome-wide quantifier to correct for fragment GC-content bias, which, as we demonstrate here, substantially improves the accuracy of abundance estimates and the sensitivity of subsequent differential expression analysis.