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apQuant: Accurate label-free quantification by quality filtering.

A new interesting article has been published in J Proteome Res. 2018 Oct 23. doi: 10.1021/acs.jproteome.8b00113. [Epub ahead of print] and titled:

apQuant: Accurate label-free quantification by quality filtering.

Authors of this article are:

Doblmann J, Dusberger F, Imre R, Hudecz O, Stanek F, Mechtler K, Durnberger G.

A summary of the article is shown below:

Label free quantification of shotgun proteomics data is a frequently used strategy, offering high dynamic range, sensitivity and the ability to compare a high number of samples without additional labelling effort. Here, we present a bioinformatics approach that significantly improves label-free quantification results. We employ Percolator to assess the quality of quantified peptides. This allows to extract accurate and reliable quantitative results based on false discovery rate. Benchmarking our approach on previously published public data shows that it considerably outperforms currently available algorithms. apQuant is available free of charge as a node for Proteome Discoverer.

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