Applications and challenges of forensic proteomics.
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Kristin H. Jarman | Karen L Wahl | Eric D Merkley | David S Wunschel | Kristin H Jarman | E. Merkley | K. Jarman | K. Wahl | D. Wunschel
[1] Heather L. Stang,et al. Analysis of active ricin and castor bean proteins in a ricin preparation, castor bean extract, and surface swabs from a public health investigation. , 2011, Forensic science international.
[2] Oliver Kohlbacher,et al. Mass-Spectrometry-Based Proteomics Reveals Organ-Specific Expression Patterns To Be Used as Forensic Evidence. , 2016, Journal of proteome research.
[3] Samir V. Deshpande,et al. Discrimination and phylogenomic classification of Bacillus anthracis-cereus-thuringiensis strains based on LC-MS/MS analysis of whole cell protein digests. , 2010, Analytical Chemistry.
[4] William Stafford Noble,et al. Semi-supervised learning for peptide identification from shotgun proteomics datasets , 2007, Nature Methods.
[5] Alexey I Nesvizhskii,et al. Protein identification by tandem mass spectrometry and sequence database searching. , 2007, Methods in molecular biology.
[6] Peter A. Snyder,et al. ABOid: A Software for Automated Identification and Phyloproteomics Classification of Tandem Mass Spectrometric Data , 2011 .
[7] D. Lindley. Subjective Probability, Decision Analysis and their Legal Consequences , 1991 .
[8] N. Reisdorph,et al. Verification of protein biomarker specificity for the identification of biological stains by quadrupole time‐of‐flight mass spectrometry , 2017, Electrophoresis.
[9] J. Yates,et al. Protein analysis by shotgun/bottom-up proteomics. , 2013, Chemical reviews.
[10] William Stafford Noble,et al. Crux: Rapid Open Source Protein Tandem Mass Spectrometry Analysis , 2014, Journal of proteome research.
[11] Wilhelm Schänzer,et al. Recommended criteria for the mass spectrometric identification of target peptides and proteins (<8 kDa) in sports drug testing. , 2007, Rapid communications in mass spectrometry : RCM.
[12] Christian Rolando,et al. Identification of proteins in renaissance paintings by proteomics. , 2006, Analytical chemistry.
[13] M. Thevis,et al. Testing for the erythropoiesis-stimulating agent Sotatercept/ACE-011 (ActRIIA-Fc) in serum by means of Western blotting and LC-HRMS. , 2016, Drug testing and analysis.
[14] Hongen Jiang,et al. Identification of Milk Component in Ancient Food Residue by Proteomics , 2012, PloS one.
[15] M. Prinz,et al. Proteomic Analysis of Menstrual Blood* , 2012, Molecular & Cellular Proteomics.
[16] Roger Karlsson,et al. Strain-level typing and identification of bacteria using mass spectrometry-based proteomics. , 2012, Journal of proteome research.
[17] Lennart Martens,et al. Mass spectrometrists should search for all peptides, but assess only the ones they care about , 2017, Nature Methods.
[18] P. Pevzner,et al. De novo peptide sequencing and identification with precision mass spectrometry. , 2007, Journal of proteome research.
[19] M. Jodar,et al. Semen proteomics and male infertility. , 2017, Journal of proteomics.
[20] Niclas Olsson,et al. Measuring proteomes with long strings: A new, unconstrained paradigm in mass spectrum interpretation , 2018, bioRxiv.
[21] R. Rice,et al. Proteome Analysis of Human Hair Shaft , 2006, Molecular & Cellular Proteomics.
[22] R. Recker,et al. Proteomics in bone research , 2010, Expert review of proteomics.
[23] A. Biedermann,et al. Drawbacks in the scientification of forensic science. , 2014, Forensic science international.
[24] Stefano Lonardi,et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers , 2017, Genome Biology.
[25] B. Clarke,et al. Normal bone anatomy and physiology. , 2008, Clinical journal of the American Society of Nephrology : CJASN.
[26] Dieter Deforce,et al. Mass spectrometry-based proteomics as a tool to identify biological matrices in forensic science , 2012, International Journal of Legal Medicine.
[27] I. Evett,et al. Evidence evaluation: a response to the court of appeal judgment in R v T. , 2011, Science & justice : journal of the Forensic Science Society.
[28] Lennart Martens,et al. Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1. , 2016, Journal of proteome research.
[29] M. Jaquinod,et al. A proteomics assay to detect eight CBRN‐relevant toxins in food , 2017, Proteomics.
[30] John M. Asara,et al. Protein Sequences from Mastodon and Tyrannosaurus Rex Revealed by Mass Spectrometry , 2007, Science.
[31] Bin Ma,et al. De Novo Sequencing Methods in Proteomics , 2010, Proteome Bioinformatics.
[32] R. Nelson,et al. Top-down mass spectrometric immunoassay for human insulin and its therapeutic analogs. , 2017, Journal of proteomics.
[33] Christina Widén,et al. Comments on "The database search problem" with respect to a recent publication in Forensic Science International. , 2012, Forensic science international.
[34] Darryl B. Hardie,et al. Mass spectrometric quantitation of peptides and proteins using Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SISCAPA). , 2004, Journal of proteome research.
[35] Suzanne R. Kalb,et al. Mass spectrometric detection of ricin and its activity in food and clinical samples. , 2009, Analytical chemistry.
[36] M. Mann,et al. Andromeda: a peptide search engine integrated into the MaxQuant environment. , 2011, Journal of proteome research.
[37] William Stafford Noble,et al. Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy? , 2017, RECOMB.
[38] A. Chamberlain,et al. Forensic proteomics for the evaluation of the post-mortem decay in bones. , 2018, Journal of proteomics.
[39] E. Tulman,et al. Forensic proteomics of poxvirus production. , 2013, The Analyst.
[40] M. Mann,et al. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.
[41] Kristin H. Jarman,et al. Proteomics Goes to Court: A Statistical Foundation for Forensic Toxin/Organism Identification Using Bottom-Up Proteomics. , 2018, Journal of proteome research.
[42] Michael Buckley,et al. Ancient collagen reveals evolutionary history of the endemic South American ‘ungulates’ , 2015, Proceedings of the Royal Society B: Biological Sciences.
[43] D. McNevin,et al. Short tandem repeat (STR) genotyping of keratinised hair. Part 1. Review of current status and knowledge gaps. , 2005, Forensic science international.
[44] Sarah C. Jenson,et al. Ricin‐like proteins from the castor plant do not influence liquid chromatography‐mass spectrometry detection of ricin in forensically relevant samples , 2017, Toxicon : official journal of the International Society on Toxinology.
[45] Joshua E. Elias,et al. Target-Decoy Search Strategy for Mass Spectrometry-Based Proteomics , 2010, Proteome Bioinformatics.
[46] R. Aebersold,et al. Mass spectrometry-based proteomics , 2003, Nature.
[47] F. Ahmed. Sample preparation and fractionation for proteome analysis and cancer biomarker discovery by mass spectrometry. , 2009, Journal of separation science.
[48] William Stafford Noble,et al. Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. , 2008, Journal of proteome research.
[49] A. Biedermann,et al. The importance of distinguishing information from evidence/observations when formulating propositions. , 2015, Science & justice : journal of the Forensic Science Society.
[50] Wen-Lian Hsu,et al. Spectrum-based method to generate good decoy libraries for spectral library searching in peptide identifications. , 2013, Journal of proteome research.
[51] F Taroni,et al. Equal prior probabilities: can one do any better? , 2007, Forensic science international.
[52] Paul T Jayaprakash. On the limitations of probability in conceptualizing pattern matches in forensic science: Response to "On the value of probability for evaluating results of comparative pattern analysis" by Alex Biedermann and Franco Taroni [Forensic Sci. Int. 232 (2013) e44-e45]. , 2014, Forensic science international.
[53] Noemi Procopio,et al. Minimizing Laboratory-Induced Decay in Bone Proteomics. , 2017, Journal of proteome research.
[54] Meghan C. Burke,et al. Reverse and Random Decoy Methods for False Discovery Rate Estimation in High Mass Accuracy Peptide Spectral Library Searches. , 2018, Journal of proteome research.
[55] William Stafford Noble. Mass spectrometrists should search only for peptides they care about , 2015, Nature Methods.
[56] David L Tabb,et al. Verification of automated peptide identifications from proteomic tandem mass spectra , 2006, Nature Protocols.
[57] Nichole Reisdorph,et al. Discovery of highly specific protein markers for the identification of biological stains , 2014, Electrophoresis.
[58] Albert Sickmann,et al. Systematic and quantitative comparison of digest efficiency and specificity reveals the impact of trypsin quality on MS-based proteomics. , 2012, Journal of proteomics.
[59] Michael J. MacCoss,et al. Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline , 2012, Molecular & Cellular Proteomics.
[60] Samuel H. Payne,et al. Individual Variability of Protein Expression in Human Tissues. , 2018, Journal of proteome research.
[61] Johannes Griss,et al. Spectral library searching in proteomics , 2016, Proteomics.
[62] A. Girelli,et al. Application of immobilized enzyme reactor in on-line high performance liquid chromatography: a review. , 2005, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[63] Jingchun Chen,et al. ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry , 2011, BMC Bioinformatics.
[64] Irene van den Broek,et al. Current trends in mass spectrometry of peptides and proteins: Application to veterinary and sports-doping control. , 2015, Mass spectrometry reviews.
[65] R. Zeleny,et al. Characterization of Ricin and R. communis Agglutinin Reference Materials , 2015, Toxins.
[66] Eloise J. Pigott,et al. Detection of intact ricin in crude and purified extracts from castor beans using matrix-assisted laser desorption ionization mass spectrometry. , 2009, Analytical chemistry.
[67] David L. Faigman,et al. Failed Forensics: How Forensic Science Lost Its Way and How it Might Yet Find it , 2008 .
[68] A. Heck,et al. Next-generation proteomics: towards an integrative view of proteome dynamics , 2012, Nature Reviews Genetics.
[69] Alexey I Nesvizhskii,et al. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. , 2002, Analytical chemistry.
[70] Ruedi Aebersold,et al. Mass-spectrometric exploration of proteome structure and function , 2016, Nature.
[71] F. Botrè,et al. Mass spectrometry and illicit drug testing: analytical challenges of the anti-doping laboratories , 2008, Expert review of proteomics.
[72] William Stafford Noble,et al. Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets. , 2009, Journal of proteome research.
[73] Robertson Craig,et al. TANDEM: matching proteins with tandem mass spectra. , 2004, Bioinformatics.
[74] William Stafford Noble,et al. Critical decisions in metaproteomics: achieving high confidence protein annotations in a sea of unknowns , 2016, The ISME Journal.
[75] M. Moini,et al. Protein extraction from human anagen head hairs 1-millimeter or less in total length. , 2018, BioTechniques.
[76] Mehdi Mirzaei,et al. Less label, more free: Approaches in label‐free quantitative mass spectrometry , 2011, Proteomics.
[77] M. Christodoulou,et al. Enzymatic Kinetic Resolution of 2-Piperidineethanol for the Enantioselective Targeted and Diversity Oriented Synthesis , 2015, International journal of molecular sciences.
[78] William Stafford Noble,et al. Tandem Mass Spectrum Identification via Cascaded Search , 2015, Journal of proteome research.
[79] J. Olsen,et al. Species Identification of Archaeological Skin Objects from Danish Bogs: Comparison between Mass Spectrometry-Based Peptide Sequencing and Microscopy-Based Methods , 2014, PloS one.
[80] Anna Bierczynska-Krzysik,et al. Methods for samples preparation in proteomic research. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[81] C. Howe,et al. Methodologies for detection of hemoglobin-based oxygen carriers. , 2005, Journal of chromatographic science.
[82] R. Aebersold,et al. A statistical model for identifying proteins by tandem mass spectrometry. , 2003, Analytical chemistry.
[83] Addolorata De Chiaro,et al. Proteomic strategies for cultural heritage: From bones to paintings , 2016 .
[84] M. Buckley,et al. Proteome degradation in fossils: investigating the longevity of protein survival in ancient bone , 2014, Rapid communications in mass spectrometry : RCM.
[85] C. Aitken,et al. Expressing evaluative opinions: a position statement , 2011 .
[86] Georgios A. Pavlopoulos,et al. Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies , 2015, Bioinformatics and biology insights.
[87] Reinout Raijmakers,et al. Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics , 2009, Nature Protocols.
[88] A. Chamberlain,et al. Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones. , 2017, Journal of proteome research.
[89] Ruedi Aebersold,et al. Spectral Library Searching for Peptide Identification via Tandem MS , 2010, Proteome Bioinformatics.
[90] A. Hulst,et al. Forensic identification of neat ricin and of ricin from crude castor bean extracts by mass spectrometry. , 2005, Analytical chemistry.
[91] R. Knight,et al. Avoiding Pandemic Fears in the Subway and Conquering the Platypus , 2016, mSystems.
[92] M. Wilm,et al. Error-tolerant identification of peptides in sequence databases by peptide sequence tags. , 1994, Analytical chemistry.
[93] Eric W. Deutsch,et al. Combining Results of Multiple Search Engines in Proteomics* , 2013, Molecular & Cellular Proteomics.
[94] R. Aebersold,et al. mProphet: automated data processing and statistical validation for large-scale SRM experiments , 2011, Nature Methods.
[95] D. Tabb,et al. MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis. , 2007, Journal of proteome research.
[96] John R Yates,et al. Proteomics by mass spectrometry: approaches, advances, and applications. , 2009, Annual review of biomedical engineering.
[97] Paul T Jayaprakash,et al. Practical relevance of pattern uniqueness in forensic science. , 2013, Forensic science international.
[98] D. Goodlett,et al. Multiplexed and data-independent tandem mass spectrometry for global proteome profiling. , 2014, Mass spectrometry reviews.
[99] J. Eng,et al. Comet: An open‐source MS/MS sequence database search tool , 2013, Proteomics.
[100] André M Deelder,et al. Authentication of fish products by large-scale comparison of tandem mass spectra. , 2013, Journal of proteome research.
[101] D. N. Perkins,et al. Probability‐based protein identification by searching sequence databases using mass spectrometry data , 1999, Electrophoresis.
[102] Pavel A. Pevzner,et al. Universal database search tool for proteomics , 2014, Nature Communications.
[103] Michael Buckley,et al. Species identification by analysis of bone collagen using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry. , 2009, Rapid communications in mass spectrometry : RCM.
[104] Suzanne R. Kalb,et al. Mass spectrometric identification and differentiation of botulinum neurotoxins through toxin proteomics , 2013, Reviews in analytical chemistry.
[105] C. Junot,et al. Multiplex quantification of protein toxins in human biofluids and food matrices using immunoextraction and high-resolution targeted mass spectrometry. , 2015, Analytical chemistry.
[106] Michael D. Litton,et al. IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering. , 2009, Journal of proteome research.
[107] G. Parker,et al. Protein-based forensic identification using genetically variant peptides in human bone. , 2018, Forensic science international.
[108] B. Searle,et al. A Face in the Crowd: Recognizing Peptides Through Database Search* , 2011, Molecular & Cellular Proteomics.
[109] F Taroni,et al. Recent misconceptions about the 'database search problem': a probabilistic analysis using Bayesian networks. , 2011, Forensic science international.
[110] E. Kristiansson,et al. Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics * , 2017, Molecular & Cellular Proteomics.
[111] Suzanne R. Kalb,et al. From the mouse to the mass spectrometer: detection and differentiation of the endoproteinase activities of botulinum neurotoxins A-G by mass spectrometry. , 2005, Analytical chemistry.
[112] Samir V. Deshpande,et al. Double-Blind Characterization of Non-Genome-Sequenced Bacteria by Mass Spectrometry-Based Proteomics , 2010, Applied and Environmental Microbiology.
[113] A. Nesvizhskii. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics. , 2010, Journal of proteomics.
[114] A. Makarov,et al. Orbitrap mass spectrometry. , 2013, Analytical chemistry.
[115] Lisa M. Chung,et al. Review of software tools for design and analysis of large scale MRM proteomic datasets. , 2013, Methods.
[116] D. Benndorf,et al. Searching for a needle in a stack of needles: challenges in metaproteomics data analysis. , 2013, Molecular bioSystems.
[117] David M. Rocke,et al. Demonstration of Protein-Based Human Identification Using the Hair Shaft Proteome , 2016, PloS one.
[118] R. Vinciguerra,et al. GC/MS and proteomics to unravel the painting history of the lost Giant Buddhas of Bāmiyān (Afghanistan) , 2017, PloS one.
[119] R. Aebersold,et al. The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays. , 2017, Journal of proteome research.
[120] J. Grossmann,et al. Bacillus cereus Group-Type Strain-Specific Diagnostic Peptides. , 2016, Journal of proteome research.
[121] Deepak R. Mani,et al. Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics , 2012, BMC Bioinformatics.
[122] R. Stöcklin,et al. Advances in venomics. , 2016, Molecular bioSystems.
[123] T. Bergström,et al. Identification of RIP-II toxins by affinity enrichment, enzymatic digestion and LC-MS. , 2015, Analytical chemistry.
[124] David M. Rocke,et al. Human hair shaft proteomic profiling: individual differences, site specificity and cuticle analysis , 2014, PeerJ.
[125] Colin Aitken,et al. Evaluation of trace evidence in the form of multivariate data , 2004 .
[126] Jürgen Cox,et al. Expert System for Computer-assisted Annotation of MS/MS Spectra* , 2012, Molecular & Cellular Proteomics.
[127] Derek J. Bailey,et al. Parallel Reaction Monitoring for High Resolution and High Mass Accuracy Quantitative, Targeted Proteomics* , 2012, Molecular & Cellular Proteomics.
[128] P. Pevzner,et al. Spectral probabilities and generating functions of tandem mass spectra: a strike against decoy databases. , 2008, Journal of proteome research.
[129] Nuno Bandeira,et al. False discovery rates in spectral identification , 2012, BMC Bioinformatics.
[130] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[131] J. Yates,et al. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database , 1994, Journal of the American Society for Mass Spectrometry.
[132] John D. Storey. A direct approach to false discovery rates , 2002 .
[133] H. Adeola,et al. Emerging Diagnostic and Therapeutic Potentials of Human Hair Proteomics , 2018, Proteomics. Clinical applications.
[134] A. Shevchenko,et al. Proteomics evidence for kefir dairy in Early Bronze Age China , 2014 .
[135] R. Rice. Proteomic analysis of hair shaft and nail plate. , 2011, Journal of cosmetic science.
[136] R. Aebersold,et al. Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions , 2012, Nature Methods.
[137] E. Willerslev,et al. DNA from keratinous tissue. Part I: hair and nail. , 2012, Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft.
[138] J. Bergquist,et al. Identification of meat products by shotgun spectral matching. , 2016, Food chemistry.
[139] Natalie I. Tasman,et al. iProphet: Multi-level Integrative Analysis of Shotgun Proteomic Data Improves Peptide and Protein Identification Rates and Error Estimates* , 2011, Molecular & Cellular Proteomics.
[140] William Stafford Noble,et al. Posterior error probabilities and false discovery rates: two sides of the same coin. , 2008, Journal of proteome research.
[141] Robert Heyer,et al. Challenges and perspectives of metaproteomic data analysis. , 2017, Journal of biotechnology.
[142] B. Ma,et al. De Novo Sequencing and Homology Searching‡‡* , 2011, Molecular & Cellular Proteomics.
[143] P. Pevzner,et al. Target-Decoy Approach and False Discovery Rate: When Things May Go Wrong , 2011, Journal of the American Society for Mass Spectrometry.
[144] Suzanne R. Kalb,et al. Detection of botulinum neurotoxin A in a spiked milk sample with subtype identification through toxin proteomics. , 2005, Analytical chemistry.
[145] Xin Zhang,et al. Understanding the improved sensitivity of spectral library searching over sequence database searching in proteomics data analysis , 2011, Proteomics.
[146] Joel G Pounds,et al. A comparative analysis of computational approaches to relative protein quantification using peptide peak intensities in label‐free LC‐MS proteomics experiments , 2013, Proteomics.
[147] Michael J Saks,et al. Forensic identification: From a faith-based "Science" to a scientific science. , 2010, Forensic science international.
[148] M. Page,et al. Uniqueness in the forensic identification sciences--fact or fiction? , 2011, Forensic science international.
[149] Linfeng Wu,et al. Role of spectral counting in quantitative proteomics , 2010, Expert review of proteomics.
[150] M. Mann,et al. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification , 2008, Nature Biotechnology.
[151] D. Schieltz,et al. Quantification of ricin, RCA and comparison of enzymatic activity in 18 Ricinus communis cultivars by isotope dilution mass spectrometry , 2015, Toxicon : official journal of the International Society on Toxinology.
[152] Sargur N. Srihari,et al. Likelihood ratio estimation in forensic identification using similarity and rarity , 2014, Pattern Recognit..
[153] F Taroni,et al. Decision theoretic properties of forensic identification: underlying logic and argumentative implications. , 2008, Forensic science international.
[154] K. Medzihradszky,et al. Lessons in de novo peptide sequencing by tandem mass spectrometry. , 2015, Mass spectrometry reviews.
[155] David L Tabb,et al. The SEQUEST Family Tree , 2015, Journal of The American Society for Mass Spectrometry.
[156] Andreas Wieser,et al. MALDI-TOF MS in microbiological diagnostics—identification of microorganisms and beyond (mini review) , 2011, Applied Microbiology and Biotechnology.
[157] J. Foster,et al. Investigation of Yersinia pestis Laboratory Adaptation through a Combined Genomics and Proteomics Approach , 2015, PloS one.
[158] N. Valentine,et al. Characterization of residual medium peptides from Yersinia pestis cultures. , 2013, Analytical chemistry.
[159] William Stafford Noble,et al. Computing Exact p-values for a Cross-correlation Shotgun Proteomics Score Function , 2014, Molecular & Cellular Proteomics.
[160] M. Thevis,et al. Mass spectrometric characterization of a biotechnologically produced full-length mechano growth factor (MGF) relevant for doping controls. , 2014, Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society.
[161] J. Korlach,et al. The Effects of Signal Erosion and Core Genome Reduction on the Identification of Diagnostic Markers , 2016, mBio.
[162] David L. Faigman,et al. EXPERT EVIDENCE AFTER DAUBERT , 2005 .
[163] David Lindley,et al. A problem in forensic science , 1977 .
[164] Knut Reinert,et al. Tools for Label-free Peptide Quantification , 2012, Molecular & Cellular Proteomics.
[165] Nuno Bandeira,et al. Spectral Library Generating Function for Assessing Spectrum-Spectrum Match Significance , 2013, RECOMB.
[166] S. Kansa,et al. Distinguishing between archaeological sheep and goat bones using a single collagen peptide , 2010 .
[167] Steven P Gygi,et al. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry , 2007, Nature Methods.
[168] Didier Meuwly,et al. Sampling variability in forensic likelihood-ratio computation: A simulation study. , 2015, Science & justice : journal of the Forensic Science Society.
[169] Mark P. Molloy,et al. How specific is my SRM?: The issue of precursor and product ion redundancy , 2009, Proteomics.