We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification performance in conventional DIA proteomic applications, and is particularly beneficial for high-throughput applications, as it is fast and enables deep and confident proteome coverage when used in combination with fast chromatographic methods.

中文翻译：

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DIA-NN：神经网络和干扰校正可实现高通量的深度蛋白质组覆盖。


我们提出了一个易于使用的集成软件套件 DIA-NN，它利用深度神经网络和新的量化和信号校正策略来处理数据无关的采集 (DIA) 蛋白质组学实验。 DIA-NN 提高了传统 DIA 蛋白质组学应用中的识别和定量性能，特别有利于高通量应用，因为它速度快，与快速色谱方法结合使用时可以实现深度且可靠的蛋白质组覆盖。