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Similarity among Tandem Mass Spectra from Proteomic Experiments: Detection, Significance, and Utility
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s1387-3806(02)00563-8openalex-snapshot
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inferredcites →https://doi.org/10.1021/ac010617eopenalex-snapshot
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inferredcites →https://doi.org/10.1021/ac025826topenalex-snapshot
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inferredcites →https://doi.org/10.1021/ac980122yopenalex-snapshot
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inferredcites →https://doi.org/10.1021/pr015514ropenalex-snapshot
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inferredcites →https://doi.org/10.1021/pr025508aopenalex-snapshot
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inferredcites →https://doi.org/10.1021/pr025556vopenalex-snapshot
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inferredcites →https://doi.org/10.1038/85686openalex-snapshot
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inferredcites →https://doi.org/10.1038/nature01107openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.172170199openalex-snapshot
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inferredcites →https://doi.org/10.1073/pnas.172183199openalex-snapshot
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inferredcites →https://doi.org/10.1089/10665270050514927openalex-snapshot
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inferred← citeshttps://doi.org/10.2139/ssrn.4796224openalex-extracted
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inferred← citeshttps://doi.org/10.1002/cfg.231openalex-snapshot
Current awareness on comparative and functional genomics
inferred← citeshttps://doi.org/10.1002/jms.413openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/jms.4693openalex-snapshot
Collision energies on QTof and Orbitrap instruments: How to make proteomics measurements comparable?
inferred← citeshttps://doi.org/10.1002/mas.20068openalex-snapshot
Automated protein identification by tandem mass spectrometry: Issues and strategies
inferred← citeshttps://doi.org/10.1002/mas.20243openalex-snapshot
A review of current applications of mass spectrometry for neuroproteomics in epilepsy
inferred← citeshttps://doi.org/10.1002/mas.21512openalex-snapshot
Tandem mass spectral libraries of peptides and their roles in proteomics research
inferred← citeshttps://doi.org/10.1002/mas.21540openalex-snapshot
The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics
inferred← citeshttps://doi.org/10.1002/pmic.200300652openalex-snapshot
Improving large‐scale proteomics by clustering of mass spectrometry data
inferred← citeshttps://doi.org/10.1002/pmic.200500126openalex-snapshot
An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: Sensitivity and specificity analysis
inferred← citeshttps://doi.org/10.1002/pmic.200500309openalex-snapshot
Improving the reliability and throughput of mass spectrometry‐based proteomics by spectrum quality filtering
inferred← citeshttps://doi.org/10.1002/pmic.200600273openalex-snapshot
Proteome informatics I: Bioinformatics tools for processing experimental data
inferred← citeshttps://doi.org/10.1002/pmic.200700160openalex-snapshot
Implementation and application of a versatile clustering tool for tandem mass spectrometry data
inferred← citeshttps://doi.org/10.1002/pmic.200800564openalex-snapshot
Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures
inferred← citeshttps://doi.org/10.1002/pmic.200900433openalex-snapshot
Data maximization by multipass analysis of protein mass spectra
inferred← citeshttps://doi.org/10.1002/pmic.201000605openalex-snapshot
A reproducibility‐based evaluation procedure for quantifying the differences between MS/MS peak intensity normalization methods
inferred← citeshttps://doi.org/10.1002/rcm.1198openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/rcm.1262openalex-snapshot
Automated discrimination of polymerase chain reaction products with closely related sequences by software‐based detection of characteristic peaks in product ion spectra
inferred← citeshttps://doi.org/10.1002/rcm.3467openalex-snapshot
Specificity of immobilized porcine pepsin in H/D exchange compatible conditions
inferred← citeshttps://doi.org/10.1002/rcm.6757openalex-snapshot
Application of de novo sequencing tools to study abiogenic peptide formations by tandem mass spectrometry. The case of homo‐peptides from glutamic acid complicated by substitutions of hydrogen by sodium or potassium atoms
inferred← citeshttps://doi.org/10.1002/rcm.7792openalex-snapshot
Rapid sample classification using an open port sampling interface coupled with liquid introduction atmospheric pressure ionization mass spectrometry
inferred← citeshttps://doi.org/10.1002/sscp.70213openalex-snapshot
Python Pipeline, Mass Spectrometry, and Quantitative Structure‐Retention Relationship Models: A Powerful Trio for Metabolite Characterization
inferred← citeshttps://doi.org/10.1007/11415770_27openalex-snapshot
EigenMS: De Novo Analysis of Peptide Tandem Mass Spectra by Spectral Graph Partitioning
inferred← citeshttps://doi.org/10.1007/978-1-4939-6740-7_7openalex-snapshot
Methods to Calculate Spectrum Similarity
inferred← citeshttps://doi.org/10.1007/978-1-59745-255-7_7openalex-snapshot
The Use of a Quantitative Cysteinyl-Peptide Enrichment Technology for High-Throughput Quantitative Proteomics
inferred← citeshttps://doi.org/10.1007/978-1-59745-398-1_22openalex-snapshot
Toward High-Throughput and Reliable Peptide Identification via MS/MS Spectra
inferred← citeshttps://doi.org/10.1007/978-1-60761-157-8_14openalex-snapshot
Algorithms and Databases
inferred← citeshttps://doi.org/10.1007/978-1-60761-444-9_11openalex-snapshot
Signal Processing in Proteomics
inferred← citeshttps://doi.org/10.1007/978-1-60761-444-9_3openalex-snapshot
Computational Approaches to Peptide Identification via Tandem MS
inferred← citeshttps://doi.org/10.1007/978-1-60761-977-2_11openalex-snapshot
Protein Identification by Spectral Networks Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-51652-9_4openalex-snapshot
Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry-Based Metabolomics
inferred← citeshttps://doi.org/10.1007/978-3-031-01960-9_5openalex-snapshot
Fast Spectral Pre-processing for Big MS Data
inferred← citeshttps://doi.org/10.1007/978-3-319-05269-4_7openalex-snapshot
The Generating Function Approach for Peptide Identification in Spectral Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-15361-7_4openalex-snapshot
Reliability and Errors of Identification
inferred← citeshttps://doi.org/10.1007/978-3-642-20036-6_2openalex-snapshot
Constrained De Novo Sequencing of Peptides with Application to Conotoxins
inferred← citeshttps://doi.org/10.1007/978-3-642-30191-9_18openalex-snapshot
On Optimizing the Non-metric Similarity Search in Tandem Mass Spectra by Clustering
inferred← citeshttps://doi.org/10.1007/s00216-006-0609-9openalex-snapshot
Advances in the analysis of dynamic protein complexes by proteomics and data processing
inferred← citeshttps://doi.org/10.1007/s12014-009-9023-6openalex-snapshot
Critical Evaluation of Product Ion Selection and Spectral Correlation Analysis for Biomarker Screening Using Targeted Peptide Multiple Reaction Monitoring
inferred← citeshttps://doi.org/10.1007/s13361-013-0709-7openalex-snapshot
Energy Dependence of HCD on Peptide Fragmentation: Stepped Collisional Energy Finds the Sweet Spot
inferred← citeshttps://doi.org/10.1007/s13361-016-1408-yopenalex-snapshot
Quantitative Comparison of Tandem Mass Spectra Obtained on Various Instruments
inferred← citeshttps://doi.org/10.1007/s13721-014-0054-1openalex-snapshot
Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures
inferred← citeshttps://doi.org/10.1016/b978-0-12-374367-1.00021-5openalex-snapshot
Proteomics in Pesticide Toxicology
inferred← citeshttps://doi.org/10.1016/b978-0-12-811785-9.00003-xopenalex-snapshot
The Role of Proteomics in Cancer Research
inferred← citeshttps://doi.org/10.1016/b978-0-443-18925-8.00009-xopenalex-snapshot
Analytical methods in the detection of proteins and peptides in tissue fluids and homogenates
inferred← citeshttps://doi.org/10.1016/b978-0-444-62651-6.00017-9openalex-snapshot
Bioinformatic Approaches to Increase Proteome Coverage
inferred← citeshttps://doi.org/10.1016/j.bbapap.2013.01.039openalex-snapshot
Bioinformatics tools for secretome analysis
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.01.004openalex-snapshot
An effective two-stage spectral library search approach based on lifting wavelet decomposition for complicated mass spectra
inferred← citeshttps://doi.org/10.1016/j.chroma.2004.06.034openalex-snapshot
Development of a bioreactor based on trypsin immobilized on monolithic support for the on-line digestion and identification of proteins
inferred← citeshttps://doi.org/10.1016/j.chroma.2006.01.030openalex-snapshot
Optimization of a trypsin-bioreactor coupled with high-performance liquid chromatography–electrospray ionization tandem mass spectrometry for quality control of biotechnological drugs
inferred← citeshttps://doi.org/10.1016/j.ijms.2011.07.019openalex-snapshot
Differential characterization and classification of tissue specific glycosaminoglycans by tandem mass spectrometry and statistical methods
inferred← citeshttps://doi.org/10.1016/j.ijms.2017.03.007openalex-snapshot
Two-step spectral library pre-search: A novel approach for speeding up compound identification
inferred← citeshttps://doi.org/10.1016/j.ijms.2019.01.011openalex-snapshot
Fuzzy-precise positioning: A pre-search algorithm based on feature peaks of mass spectra for acceleration of chemical compound recognition
inferred← citeshttps://doi.org/10.1016/j.jasms.2005.04.010openalex-snapshot
MS2Grouper: Group assessment and synthetic replacement of duplicate proteomic tandem mass spectra
inferred← citeshttps://doi.org/10.1016/j.jchromb.2004.08.005openalex-snapshot
Analysis of protein fragmentation inhibition by an MMP-inhibitor in an in vivo model of heart failure using automated chromatography
inferred← citeshttps://doi.org/10.1016/j.jchromb.2017.06.002openalex-snapshot
Clustering of MS2 spectra using unsupervised methods to aid the identification of secondary metabolites from Pseudomonas aeruginosa
inferred← citeshttps://doi.org/10.1016/j.jda.2011.10.003openalex-snapshot
Non-metric similarity search of tandem mass spectra including posttranslational modifications
inferred← citeshttps://doi.org/10.1016/j.jprot.2017.07.008openalex-snapshot
A mass spectrometry-based proteomic analysis of Homer2-interacting proteins in the mouse brain
inferred← citeshttps://doi.org/10.1016/j.mcpro.2021.100133openalex-snapshot
Optimized Liquid and Gas Phase Fractionation Increases HLA-Peptidome Coverage for Primary Cell and Tissue Samples
inferred← citeshttps://doi.org/10.1016/j.trac.2005.03.013openalex-snapshot
Identification of chemical compounds
inferred← citeshttps://doi.org/10.1016/j.ymeth.2004.08.014openalex-snapshot
Informatics for protein identification by mass spectrometry
inferred← citeshttps://doi.org/10.1016/j.ymeth.2004.08.016openalex-snapshot
Protein identification using 2D-LC-MS/MS
inferred← citeshttps://doi.org/10.1016/s1359-6446(03)02978-7openalex-snapshot
Analysis, statistical validation and dissemination of large-scale proteomics datasets generated by tandem MS
inferred← citeshttps://doi.org/10.1021/ac102179jopenalex-snapshot
Effect of Collision Energy Optimization on the Measurement of Peptides by Selected Reaction Monitoring (SRM) Mass Spectrometry
inferred← citeshttps://doi.org/10.1021/ac102272ropenalex-snapshot
On the Accuracy and Limits of Peptide Fragmentation Spectrum Prediction
inferred← citeshttps://doi.org/10.1021/ac200740wopenalex-snapshot
Wavelet- and Fourier-Transform-Based Spectrum Similarity Approaches to Compound Identification in Gas Chromatography/Mass Spectrometry
inferred← citeshttps://doi.org/10.1021/ac301350nopenalex-snapshot
Compound Identification Using Partial and Semipartial Correlations for Gas Chromatography–Mass Spectrometry Data
inferred← citeshttps://doi.org/10.1021/ac501094mopenalex-snapshot
Prediction of Peptide Fragment Ion Mass Spectra by Data Mining Techniques
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c02021openalex-snapshot
CsoDIAq Software for Direct Infusion Shotgun Proteome Analysis
inferred← citeshttps://doi.org/10.1021/acs.analchem.4c06949openalex-snapshot
Does Native Capillary Zone Electrophoresis-Mass Spectrometry Maintain the Structural Topology of Protein Complexes?
inferred← citeshttps://doi.org/10.1021/acs.analchem.5b04418openalex-snapshot
Power Normalization for Mass Spectrometry Data Analysis and Analytical Method Assessment
inferred← citeshttps://doi.org/10.1021/acs.jproteome.2c00069openalex-snapshot
A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics
inferred← citeshttps://doi.org/10.1021/acs.jproteome.8b00448openalex-snapshot
msCRUSH: Fast Tandem Mass Spectral Clustering Using Locality Sensitive Hashing
inferred← citeshttps://doi.org/10.1021/acs.jproteome.8b00819openalex-snapshot
Multi-Reference Spectral Library Yields Almost Complete Coverage of Heterogeneous LC-MS/MS Data Sets
inferred← citeshttps://doi.org/10.1021/acsmeasuresciau.6c00119openalex-snapshot
ProjDIA: Fragment-Bin Projection Scoring and Calibrated Confidence for Direct Infusion DIA Proteomics
inferred← citeshttps://doi.org/10.1021/acsomega.1c04206openalex-snapshot
Facile Preparation of a Rhodamine B Derivative-Based Fluorescent Probe for Visual Detection of Iron Ions
inferred← citeshttps://doi.org/10.1021/acsomega.9b02433openalex-snapshot
Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Typings of Edible Oils through Spectral Networking of Triacylglycerol Fingerprints
inferred← citeshttps://doi.org/10.1021/jasms.1c00284openalex-snapshot
Practical Effects of Intramolecular Hydrogen Rearrangement in Electron Transfer Dissociation-Based Proteomics
inferred← citeshttps://doi.org/10.1021/jasms.4c00187openalex-snapshot
Integrating DIA Single-Cell Proteomics Data with the DiagnoMass Proteomic Hub for Biological Insights
inferred← citeshttps://doi.org/10.1021/pr070361eopenalex-snapshot
Clustering Millions of Tandem Mass Spectra
inferred← citeshttps://doi.org/10.1021/pr800226wopenalex-snapshot
A Spectral Clustering Approach to MS/MS Identification of Post-Translational Modifications
inferred← citeshttps://doi.org/10.1021/pr9006365openalex-snapshot
Repeatability and Reproducibility in Proteomic Identifications by Liquid Chromatography−Tandem Mass Spectrometry
inferred← citeshttps://doi.org/10.1038/ncomms2730openalex-snapshot
Identifying sources of tick blood meals using unidentified tandem mass spectral libraries
inferred← citeshttps://doi.org/10.1038/nmeth.1609openalex-snapshot
Spectral archives: extending spectral libraries to analyze both identified and unidentified spectra
inferred← citeshttps://doi.org/10.1038/nmeth725openalex-snapshot
Large-scale database searching using tandem mass spectra: Looking up the answer in the back of the book
inferred← citeshttps://doi.org/10.1038/s41598-017-13831-0openalex-snapshot
A novel quantification-driven proteomic strategy identifies an endogenous peptide of pleiotrophin as a new biomarker of Alzheimer’s disease
inferred← citeshttps://doi.org/10.1038/s41598-018-30994-6openalex-snapshot
Data-driven approach for the prediction and interpretation of core-electron loss spectroscopy
inferred← citeshttps://doi.org/10.1038/s41598-018-31261-4openalex-snapshot
Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna
inferred← citeshttps://doi.org/10.1039/9781839160233-00424openalex-snapshot
Machine Learning for Core-loss Spectrum
inferred← citeshttps://doi.org/10.1039/c2mb25085copenalex-snapshot
The spectral networks paradigm in high throughput mass spectrometry
inferred← citeshttps://doi.org/10.1073/pnas.0701130104openalex-snapshot
Protein identification by spectral networks analysis
inferred← citeshttps://doi.org/10.1074/jbc.r110.199703openalex-snapshot
Liquid Chromatography-Mass Spectrometry-based Quantitative Proteomics
inferred← citeshttps://doi.org/10.1074/mcp.m111.007666openalex-snapshot
Spectrum-to-Spectrum Searching Using a Proteome-wide Spectral Library
inferred← citeshttps://doi.org/10.1074/mcp.m600162-mcp200openalex-snapshot
Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical Applications
inferred← citeshttps://doi.org/10.1074/mcp.m700077-mcp200openalex-snapshot
The in Vivo Brain Interactome of the Amyloid Precursor Protein
inferred← citeshttps://doi.org/10.1074/mcp.m700239-mcp200openalex-snapshot
Properties of Average Score Distributions of SEQUEST
inferred← citeshttps://doi.org/10.1074/mcp.o113.036475openalex-snapshot
Conserved Peptide Fragmentation as a Benchmarking Tool for Mass Spectrometers and a Discriminating Feature for Targeted Proteomics
inferred← citeshttps://doi.org/10.1074/mcp.r500011-mcp200openalex-snapshot
Integrating Global Proteomic and Genomic Expression Profiles Generated from Islet α Cells
inferred← citeshttps://doi.org/10.1074/mcp.t400004-mcp200openalex-snapshot
Experimental Peptide Identification Repository (EPIR)
inferred← citeshttps://doi.org/10.1080/02786826.2013.772950openalex-snapshot
Similarities in STXM-NEXAFS Spectra of Atmospheric Particles and Secondary Organic Aerosol Generated from Glyoxal, α-Pinene, Isoprene, 1,2,4-Trimethylbenzene, and d-Limonene
inferred← citeshttps://doi.org/10.1081/jlc-200053022openalex-snapshot
Pharmaceutical Applications of Liquid Chromatography Coupled with Mass Spectrometry (LC/MS)
inferred← citeshttps://doi.org/10.1089/cmb.2006.13.364openalex-snapshot
De Novo Analysis of Peptide Tandem Mass Spectra by Spectral Graph Partitioning
inferred← citeshttps://doi.org/10.1089/cmb.2014.0165openalex-snapshot
The Generating Function Approach for Peptide Identification in Spectral Networks
inferred← citeshttps://doi.org/10.1093/bfgp/eli002openalex-snapshot
Mass spectrometry technologies for proteomics
inferred← citeshttps://doi.org/10.1093/bib/bbm046openalex-snapshot
Computational methods for the comparative quantification of proteins in label-free LCn-MS experiments
inferred← citeshttps://doi.org/10.1093/bib/bbv042openalex-snapshot
Current status and prospects of computational resources for natural product dereplication: a review
inferred← citeshttps://doi.org/10.1093/bioinformatics/bth186openalex-snapshot
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry
inferred← citeshttps://doi.org/10.1093/bioinformatics/btl645openalex-snapshot
Speeding up tandem mass spectrometry database search: metric embeddings and fast near neighbor search
inferred← citeshttps://doi.org/10.1093/bioinformatics/bts083openalex-snapshot
A method of finding optimal weight factors for compound identification in gas chromatography–mass spectrometry
inferred← citeshttps://doi.org/10.1093/bioinformatics/btw023openalex-snapshot
MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz005openalex-snapshot
CluMSID: an R package for similarity-based clustering of tandem mass spectra to aid feature annotation in metabolomics
inferred← citeshttps://doi.org/10.1093/jaoacint/qsac026openalex-snapshot
Mass-to-Charge Ratio Set Matching: A Novel and Efficient Compound Identification Method
inferred← citeshttps://doi.org/10.1093/jmicro/dfz109openalex-snapshot
Machine learning approaches for ELNES/XANES
inferred← citeshttps://doi.org/10.1101/gr.248922.119openalex-snapshot
LTR retroelement expansion of the human cancer transcriptome and immunopeptidome revealed by de novo transcript assembly
inferred← citeshttps://doi.org/10.1104/pp.107.112458openalex-snapshot
Advanced Data-Mining Strategies for the Analysis of Direct-Infusion Ion Trap Mass Spectrometry Data from the Association of Perennial Ryegrass with Its Endophytic Fungus,Neotyphodium lolii
inferred← citeshttps://doi.org/10.1109/bibm.2012.6392738openalex-snapshot
An efficient algorithm for clustering of large-scale mass spectrometry data
inferred← citeshttps://doi.org/10.1109/bibmw.2012.6470210openalex-snapshot
An efficient dynamic programming algorithm for phosphorylation site assignment of large-scale mass spectrometry data
inferred← citeshttps://doi.org/10.1109/bibmw.2012.6470214openalex-snapshot
A statistical approach to peptide identification from clustered tandem mass spectrometry data
inferred← citeshttps://doi.org/10.1109/icbbe.2011.5780011openalex-snapshot
Comparison of Spectral Similarity Measures for Compound Identification
inferred← citeshttps://doi.org/10.1109/icbbt65815.2025.11276692openalex-snapshot
Specfuse - A Pipeline for Proteomics Spectra Clustering
inferred← citeshttps://doi.org/10.1109/tcbb.2013.152openalex-snapshot
CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling
inferred← citeshttps://doi.org/10.1134/s1068162012010049openalex-snapshot
Theoretical possibilities and limitations of protease primary specificity determination by statistical analysis of MALDI mass-spectra of proteolysis products
inferred← citeshttps://doi.org/10.1134/s1068162015010045openalex-snapshot
Study of the primary specificity of proteases by statistical analysis of MALDI mass spectra of proteolysis products
inferred← citeshttps://doi.org/10.1142/9789812838780_0007openalex-snapshot
Analytical Bioinformatics for Proteomics
inferred← citeshttps://doi.org/10.1145/1862344.1862358openalex-snapshot
Improving the similarity search of tandem mass spectra using metric access methods
inferred← citeshttps://doi.org/10.1145/2492517.2500245openalex-snapshot
A high performance algorithm for clustering of large-scale protein mass spectrometry data using multi-core architectures
inferred← citeshttps://doi.org/10.1145/3649329.3657354openalex-snapshot
SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering
inferred← citeshttps://doi.org/10.1146/annurev-anchem-071213-020216openalex-snapshot
High-Throughput Proteomics
inferred← citeshttps://doi.org/10.1165/rcmb.2020-0070psopenalex-snapshot
Application of Proteomics in Sarcoidosis
inferred← citeshttps://doi.org/10.1186/1471-2105-6-285openalex-snapshot
Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
inferred← citeshttps://doi.org/10.1186/1477-5956-11-s1-s14openalex-snapshot
PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data
inferred← citeshttps://doi.org/10.1186/1477-5956-4-18openalex-snapshot
Analytical model of peptide mass cluster centres with applications.
inferred← citeshttps://doi.org/10.1186/1477-5956-5-3openalex-snapshot
Methods for peptide identification by spectral comparison
inferred← citeshttps://doi.org/10.1186/1477-5956-7-9openalex-snapshot
A novel approach to denoising ion trap tandem mass spectra
inferred← citeshttps://doi.org/10.1186/s12859-021-03969-0openalex-snapshot
CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
inferred← citeshttps://doi.org/10.1186/s13195-020-00623-4openalex-snapshot
Alzheimer’s disease progression characterized by alterations in the molecular profiles and biogenesis of brain extracellular vesicles
inferred← citeshttps://doi.org/10.1186/s40169-014-0034-1openalex-snapshot
Application of clinical proteomics in acute respiratory distress syndrome
inferred← citeshttps://doi.org/10.1515/cclm.2009.167openalex-snapshot
Approaching clinical proteomics: current state and future fields of application in fluid proteomics
inferred← citeshttps://doi.org/10.1586/14789450.1.1.87openalex-snapshot
High-throughput proteomics using Fourier transform ion cyclotron resonance mass spectrometry
inferred← citeshttps://doi.org/10.1586/14789450.5.4.571openalex-snapshot
Analysis of human plasma proteins: a focus on sample collection and separation using free-flow electrophoresis
inferred← citeshttps://doi.org/10.1586/14789450.5.6.841openalex-snapshot
Utility of mass spectrometry for proteome ana lysis: part I. Conceptual and experimental approaches
inferred← citeshttps://doi.org/10.18297/etd/3307openalex-snapshot
GC×GC-MS and parallel 2DLC-MS based untargeted metabolomics.
inferred← citeshttps://doi.org/10.2144/000112487openalex-snapshot
Spectral Networks: A New Approach to De Novo Discovery of Protein Sequences and Posttranslational Modifications
inferred← citeshttps://doi.org/10.2174/157489307779314285openalex-snapshot
Mass Spectrometry Data Analysis in the Proteomics Era
inferred← citeshttps://doi.org/10.2174/157489312800604363openalex-snapshot
Data Preprocessing and Filtering in Mass Spectrometry Based Proteomics
inferred← citeshttps://doi.org/10.22237/jmasm/1462076340openalex-snapshot
Compound Identification Using Penalized Linear Regression on Metabolomics
inferred← citeshttps://doi.org/10.3390/molecules27082411openalex-snapshot
Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research
inferred← citeshttps://doi.org/10.3929/ethz-a-004651579openalex-snapshot
Algorithms and hardness results for DNA physical mapping, protein identification, and related combinatorial problems
inferred← citeshttps://doi.org/10.3929/ethz-a-005479205openalex-snapshot
Quantification of spectral similarity: towards automatic spectra verification
inferred← citeshttps://doi.org/10.4018/978-1-60566-010-3.ch074openalex-snapshot
Data Mining in Protein Identification by Tandem Mass Spectrometry
inferred← citeshttps://doi.org/10.4172/jpb.1000256openalex-snapshot
Multifactorial Understanding of Ion Abundance in Tandem Mass Spectrometry Experiments
inferred← citeshttps://doi.org/10.5012/bkcs.2010.31.6.1568openalex-snapshot
Ultra-Specific Enrichment of GST-Tagged Protein by GSH-Modified Nanoparticles
inferred← citeshttps://doi.org/10.6084/m9.figshare.12276845openalex-snapshot
Additional file 1 of Alzheimer’s disease progression characterized by alterations in the molecular profiles and biogenesis of brain extracellular vesicles
inferred← citeshttps://doi.org/10.6084/m9.figshare.13978591openalex-snapshot
Additional file 2 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
inferred← citeshttps://doi.org/10.6084/m9.figshare.13978594openalex-snapshot
Additional file 3 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
inferred← citeshttps://doi.org/10.70675/ba099d01z1c34z4aabz8cfcz90854188bc71openalex-snapshot
Scalable machine learning approaches for chromatographic pattern extraction in large-scale mass spectrometry data
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