| scholarly article | Q13442814 |
| P50 | author | James Lyons-Weiler | Q48080773 |
| P2093 | author name string | Rick Jordan | |
| Tamanna Sultana | |||
| P2860 | cites work | Probability-based protein identification by searching sequence databases using mass spectrometry data | Q27860736 |
| An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database | Q27861106 | ||
| A statistical model for identifying proteins by tandem mass spectrometry | Q28186251 | ||
| Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search | Q28211385 | ||
| TANDEM: matching proteins with tandem mass spectra | Q29615238 | ||
| Enhancing peptide identification confidence by combining search methods | Q30486606 | ||
| Evaluation of algorithms for protein identification from sequence databases using mass spectrometry data | Q30909732 | ||
| Large scale analysis of MASCOT results using a Mass Accuracy-based THreshold (MATH) effectively improves data interpretation | Q30998525 | ||
| Comparative evaluation of tandem MS search algorithms using a target-decoy search strategy | Q33285992 | ||
| Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics | Q33296109 | ||
| Informatics for protein identification by mass spectrometry | Q36049609 | ||
| Large-scale database searching using tandem mass spectra: looking up the answer in the back of the book | Q36079215 | ||
| Verification of single-peptide protein identifications by the application of complementary database search algorithms. | Q36661261 | ||
| Improving reproducibility and sensitivity in identifying human proteins by shotgun proteomics | Q40540118 | ||
| An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: sensitivity and specificity analysis | Q42663473 | ||
| Standards of excellence and open questions in cancer biomarker research: an informatics perspective. | Q43160410 | ||
| Probability-based validation of protein identifications using a modified SEQUEST algorithm | Q43884672 | ||
| Qscore: an algorithm for evaluating SEQUEST database search results | Q44727403 | ||
| High-throughput identification of proteins and unanticipated sequence modifications using a mass-based alignment algorithm for MS/MS de novo sequencing results. | Q47776790 | ||
| Improving sensitivity by probabilistically combining results from multiple MS/MS search methodologies | Q47992982 | ||
| P433 | issue | 6 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 262-273 | |
| P577 | publication date | 2009-06-01 | |
| P1433 | published in | Journal of Proteomics and Bioinformatics | Q24039997 |
| P1476 | title | Optimization of the Use of Consensus Methods for the Detection and Putative Identification of Peptides via Mass Spectrometry Using Protein Standard Mixtures | |
| P478 | volume | 2 |
| Q30987650 | Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics |
| Q60347235 | Combining High-Resolution and Exact Calibration To Boost Statistical Power: A Well-Calibrated Score Function for High-Resolution MS2 Data |
| Q37160902 | Combining results of multiple search engines in proteomics |
| Q34616750 | Discovery of mouse spleen signaling responses to anthrax using label-free quantitative phosphoproteomics via mass spectrometry |
| Q33944444 | Evaluation of the Consensus of Four Peptide Identification Algorithms for Tandem Mass Spectrometry Based Proteomics. |
| Q35083919 | MSblender: A probabilistic approach for integrating peptide identifications from multiple database search engines |
| Q42960165 | Practical and Efficient Searching in Proteomics: A Cross Engine Comparison |
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