| scholarly article | Q13442814 |
| P50 | author | Alfonso Valencia | Q16335154 |
| Jesús Vázquez | Q56527657 | ||
| Michael L Tress | Q79843025 | ||
| P2093 | author name string | Enrique Calvo | |
| Iakes Ezkurdia | |||
| Angela Del Pozo | |||
| P2860 | cites work | Initial sequencing and analysis of the human genome | Q21045365 |
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| Multiple evidence strands suggest that there may be as few as 19,000 human protein-coding genes | Q28242198 | ||
| Proteogenomic characterization of human colon and rectal cancer | Q28244320 | ||
| Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry | Q28252235 | ||
| Correction to "Analyzing the first drafts of the human proteome". | Q42638216 | ||
| Deep coverage of the Escherichia coli proteome enables the assessment of false discovery rates in simple proteogenomic experiments | Q42917663 | ||
| Practical and Efficient Searching in Proteomics: A Cross Engine Comparison | Q42960165 | ||
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| Proteomic methods for biomarker discovery and validation. Are we there yet? | Q85621405 | ||
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| UniProt: a hub for protein information | Q29547457 | ||
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| Profiling of olfactory receptor gene expression in whole human olfactory mucosa | Q33573261 | ||
| Transferred subgroup false discovery rate for rare post-translational modifications detected by mass spectrometry | Q33583201 | ||
| Combining quantitative proteomics data processing workflows for greater sensitivity | Q33892327 | ||
| A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics | Q34207316 | ||
| An assessment of current bioinformatic solutions for analyzing LC-MS data acquired by selected reaction monitoring technology | Q34265969 | ||
| Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification | Q34484117 | ||
| RefSeq: an update on mammalian reference sequences | Q35047930 | ||
| Long non-coding RNAs as a source of new peptides | Q35176562 | ||
| Alternatively Spliced Homologous Exons Have Ancient Origins and Are Highly Expressed at the Protein Level. | Q35659656 | ||
| Quest for Missing Proteins: Update 2015 on Chromosome-Centric Human Proteome Project | Q35663974 | ||
| A note on the false discovery rate of novel peptides in proteogenomics | Q36129323 | ||
| State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphet | Q36584704 | ||
| Ribosome profiling provides evidence that large noncoding RNAs do not encode proteins | Q37130406 | ||
| Combining results of multiple search engines in proteomics | Q37160902 | ||
| The state of the human proteome in 2012 as viewed through PeptideAtlas | Q37591292 | ||
| Discovery of human sORF-encoded polypeptides (SEPs) in cell lines and tissue | Q37714295 | ||
| Mass spectrometry-based proteomic quest for diabetes biomarkers | Q38306290 | ||
| Identification and characterization of sORF-encoded polypeptides | Q38413242 | ||
| Identification of missing proteins in the neXtProt database and unregistered phosphopeptides in the PhosphoSitePlus database as part of the Chromosome-centric Human Proteome Project | Q38457783 | ||
| Phenome-genome association studies of pancreatic cancer: new targets for therapy and diagnosis | Q38468256 | ||
| Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins | Q39406080 | ||
| Solution to Statistical Challenges in Proteomics Is More Statistics, Not Less | Q40643269 | ||
| Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins | Q40767197 | ||
| P433 | issue | 6 | |
| P304 | page(s) | 579-593 | |
| P577 | publication date | 2015-10-23 | |
| P1433 | published in | Expert Review of Proteomics | Q15749465 |
| P1476 | title | The potential clinical impact of the release of two drafts of the human proteome | |
| P478 | volume | 12 |
| Q35066504 | A repository of assays to quantify 10,000 human proteins by SWATH-MS. |
| Q36393100 | A tool for integrating genetic and mass spectrometry-based peptide data: Proteogenomics Viewer: PV: A genome browser-like tool, which includes MS data visualization and peptide identification parameters |
| Q28073038 | Alternative Splicing May Not Be the Key to Proteome Complexity |
| Q57181749 | Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine |
| Q38934072 | Computational quality control tools for mass spectrometry proteomics |
| Q92315366 | Few SINEs of life: Alu elements have little evidence for biological relevance despite elevated translation |
| Q45917122 | Probably less than one-tenth of the genes produce only the wild type protein without at least one additional protein isoform in some human cancer cell lines. |
| Q46153154 | Quality control in mass spectrometry-based proteomics |
| Q43904571 | The Challenge of Human Spermatozoa Proteome: A Systematic Review |
| Q55450358 | Towards a complete map of the human long non-coding RNA transcriptome |
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