DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31768060.
- Also identified by DOI 10.1038/s41592-019-0638-x and PMC identifier 6949130.
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Abstract
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.
Medical subject headings
- High-Throughput Screening Assays
- Mass Spectrometry
- Neural Networks, Computer
- Proteome
- Proteomics
- Software
- Zea mays