Spectrum clustering results for falcon, MaRaCluster, MS-Cluster, msCRUSH, and spectra-cluster on the human draft proteome dataset (PXD000561). The hyperparameters used are the following: - falcon: eps 0.05, 0.10, 0.15, 0.20, 0.25 - MaRaCluster: pvalThreshold/clusterThresholds -3.0, -5.0, -10.0, -15.0, -20.0, -25.0, -30.0 - MS-Cluster: mixture-prob 0.00001, 0.0001, 0.001, 0.005, 0.01, 0.05, 0.1; num-rounds 3 - msCRUSH: iteration 100; hash 15; similarity 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 - spectra-cluster: threshold_start 1.0; threshold_end 0.99999, 0.9999, 0.99, 0.99, 0.95, 0.9, 0.8; rounds
Tandem mass spectrometry, also known as MS/MS, is an analytical technique to measure the mass-to-cha...
<p><b>Copyright information:</b></p><p>Taken from "Spectral clustering of protein sequences"</p><p>N...
International audienceIn proteomics, the identification of peptides from mass spectral data can be m...
Spectrum clustering output files for falcon, MS-Cluster, and spectra-cluster. The hyperparameters u...
Rationale: Advanced algorithmic solutions are necessary to process the ever increasing amounts of ma...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra. Spe...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra(MS/M...
Spectrum clustering is a powerful strategy to minimize redundant mass spectral data by grouping high...
High-throughput proteomics experiments typically generate large amounts of peptide fragmentation mas...
Spectrum clustering is a powerful strategy to minimize redundant mass spectra by grouping them based...
Spectrum clustering is a powerful strategy to minimize redundant mass spectra by grouping them based...
As in many other fields, biology is faced with enormous amounts ofdata that contains valuable inform...
As current shotgun proteomics experiments can produce gigabytes of mass spectrometry data per hour, ...
Modern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has ...
Mass spectrometry (MS) is the main technology used in proteomics approaches. However, on average 75%...
Tandem mass spectrometry, also known as MS/MS, is an analytical technique to measure the mass-to-cha...
<p><b>Copyright information:</b></p><p>Taken from "Spectral clustering of protein sequences"</p><p>N...
International audienceIn proteomics, the identification of peptides from mass spectral data can be m...
Spectrum clustering output files for falcon, MS-Cluster, and spectra-cluster. The hyperparameters u...
Rationale: Advanced algorithmic solutions are necessary to process the ever increasing amounts of ma...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra. Spe...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra(MS/M...
Spectrum clustering is a powerful strategy to minimize redundant mass spectral data by grouping high...
High-throughput proteomics experiments typically generate large amounts of peptide fragmentation mas...
Spectrum clustering is a powerful strategy to minimize redundant mass spectra by grouping them based...
Spectrum clustering is a powerful strategy to minimize redundant mass spectra by grouping them based...
As in many other fields, biology is faced with enormous amounts ofdata that contains valuable inform...
As current shotgun proteomics experiments can produce gigabytes of mass spectrometry data per hour, ...
Modern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has ...
Mass spectrometry (MS) is the main technology used in proteomics approaches. However, on average 75%...
Tandem mass spectrometry, also known as MS/MS, is an analytical technique to measure the mass-to-cha...
<p><b>Copyright information:</b></p><p>Taken from "Spectral clustering of protein sequences"</p><p>N...
International audienceIn proteomics, the identification of peptides from mass spectral data can be m...