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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2164967/ https://ncbi.nlm.nih.gov/pubmed/17880728 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-352 |
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