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Tandem mass spectrometry data quality assessment by self-convolution
BACKGROUND: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs searches on theoretical mass spectrum database, while the second based itself on de novo sequencing from raw mass spectr...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2164967/ https://www.ncbi.nlm.nih.gov/pubmed/17880728 http://dx.doi.org/10.1186/1471-2105-8-352 |