DIA-NN

DIA-NN is an all-in-one software package for analyzing data-independent acquisition (DIA) proteomics data. It leverages deep neural networks and introduces novel quantification and signal correction methods to enhance the processing of DIA experiments. DIA-NN improves the identification and quantification of proteins in standard DIA proteomics applications and excels in high-throughput scenarios.

Topic

Proteomics;Proteomics experiment;Sequence analysis;Machine learning;Small molecules

Detail

  • Operation: Quantification;Spectral library search;Protein identification

  • Software interface: Command-line tool,Library,Desktop application

  • Language: C++,C,R

  • License: Mozilla Public License Version 2.0

  • Cost: Free of charge with restrictions

  • Version name: 1.8.1

  • Credit: The BBSRC, the Wellcome Trust, a Crick Idea to Innovation (i2i) initiative, the Francis Crick Institute, Cancer Research UK, the UK Medical Research Council.

  • Input: -

  • Output: -

  • Contact: Markus Ralser markus.ralser@crick.ac.uk

  • Collection: -

  • Maturity: Stable

Publications

  • DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
  • Demichev V, et al. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. 2020; 17:41-44. doi: 10.1038/s41592-019-0638-x
  • https://doi.org/10.1038/S41592-019-0638-X
  • PMID: 31768060
  • PMC: PMC6949130

Download and documentation

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