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Lecture Computational Proteomics and Metabolomics, 20. LessonKohlbacher, Oliver , 13.01.2015Table of Contents: |
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| 00:00:00 | Protein Ambiguity Groups, Reporting |
| 00:02:39 | Inference through Quantification |
| 00:08:23 | Inferred Hits, Significance |
| 00:10:18 | Single Hit Wonders |
| 00:12:24 | Target-Decoy Databases (Recapitulation) |
| 00:13:08 | FDR Calculation (Recapitulation) |
| 00:13:32 | Single Hit Wonders |
| 00:16:51 | Protein FDRs |
| 00:19:12 | ProteinProphet |
| 00:21:06 | PeptideProphet, Peptide Probability Estimates (PPE) |
| 00:22:24 | Protein Probability Estimates |
| 00:27:36 | ProteinProphet (Example) |
| 00:29:50 | Sibling Peptides |
| 00:31:51 | NSP Distributions |
| 00:32:56 | NSP Correction, Influence |
| 00:33:30 | Protein Ambiguity |
| 00:35:43 | Protein Ambiguity Group |
| 00:36:45 | Protein FDR Calculation |
| 00:39:25 | MAYU |
| 00:42:26 | MAYU vs. ProteinProphet |
| 00:44:03 | MAYU |
| 00:46:17 | Benchmarking Inference Engines |
| 00:47:59 | Lecture Computational Proteomics and Metabolomics, Learning Units 9A, 9B and 9C: Materials and References |
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