Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry

Bioinformatics Solutions Inc. (BSI) researchers are pleased to announce their latest research “Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry”, published this month in Nature Methods.

Personalized immunotherapy is revolutionizing cancer treatment. LC-MS/MS with data-independent acquisition (DIA) as an unbiased approach has been a major force to advance the development personalized neoantigen vaccines. This research presents a de novo peptide-sequencing method for DIA data analysis using deep learning.

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Figure: The workflow of DeepNovo-DIA for de novo sequencing of DIA data.

The full article can be found here: Tran, N.H., et al. Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry. Nature Methods. 20/12/2018.

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