IceR improves proteome coverage and data completeness in global and single-cell proteomics
Label-free quantitative proteomics by data dependent acquisition offers high protein identification rates but is often limited by missing values. Here, the authors develop a quantification workflow that substantially reduces missing values while maintaining high identification rates and quantificati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-25077-6 |