Results for “mass-spectrometry”
26 skills
k-dense-ai Matchms
Process and analyze mass spectrometry data: import spectra from MGF, mzML, MSP, and JSON formats; apply 40+ filters for metadata harmonization and peak cleaning; compute spectral similarities (cosine, modified cosine) for compound identification; build reproducible processing pipelines.
30.2k · bundle
k-dense-ai Pyopenms
Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.
30.2k · bundle
chen-yu-hao Pyopenms
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
5 · bundle
More results
chen-yu-hao Matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
5 · bundle
metinduraktr-44 Matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
0 · bundle
jackychenlu Matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
0 · bundle
artubss Matchms
Análise de espectrometria de massas. Processa mzML/MGF/MSP, similaridade espectral (cosine, modified cosine), harmonização de metadados, identificação de compostos, para metabolômica e processamento de dados MS.
10 · bundle
levalencia Matchms
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.
3 · bundle
alterlab-ieu Alterlab Matchms
Computes mass-spectral similarity and identifies compounds for metabolomics with matchms — comparing mass spectra, scoring similarity (cosine, modified cosine), and searching spectral libraries to annotate unknowns. Use when matching MS/MS spectra, identifying metabolites, or library searching; for full LC-MS/MS proteomics pipelines use pyopenms. Part of the AlterLab Academic Skills suite.
60 · bundle
loopyluci Songsee
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
1
alterlab-ieu Alterlab Pyopenms
Build complete mass-spectrometry workflows with pyOpenMS — feature detection, peptide identification, protein quantification, and full LC-MS/MS pipelines across many MS file formats (mzML, mzXML) and algorithms. Use for comprehensive proteomics and MS data processing — for simple spectral comparison and metabolite identification use matchms. Part of the AlterLab Academic Skills suite.
60 · bundle
bog5d Songsee
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
0
matlab Matlab Analyze Ams Waveform
Analyze AMS waveform data using Mixed-Signal Blockset utilities: phase noise measurement, clock jitter, anti-aliased resampling, timing measurements, lock time, INL/DNL, ADC/DAC calibration, HSpice import. Use when analyzing time-domain voltage from PLL/VCO/clock simulations, measuring phase noise from variable-step solver output, computing jitter, or resampling non-uniform data.
920 · bundle
smith6jt-cop Stitched Image Qc
Stitched Image Quality Control
3
jiachen-t-wang Scaling Vision With Sparse Mixture Of Experts Arxiv 2106 059
Scaling Vision with Sparse Mixture of Experts
6
promisingcoder Songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
0
tradermonty Stockbee Momentum Burst Screener
Screen US stocks for Stockbee-style short-term momentum burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring.
2.3k · bundle
diegojcn Songsee
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
1
shulkwisec Mass Assignment
Mass Assignment
21
bobmatnyc Opentelemetry
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
71 · bundle
jiachen-t-wang Copy Paste Augmentation For Instance Segmentation Arxiv 2012
Copy-Paste Augmentation for Instance Segmentation
6
majiayu000 Ams
Decodes ams-OSRAM MPN encoding patterns, including product families, package suffixes, and series extraction rules, with guidance for the AMSHandler.
567 · bundle
smith6jt-cop Multi Project Batch Isolation
Multi-project signal isolation with cascading recipe resolution
3
mukul975 Performing Purple Team Atomic Testing
Executes Atomic Red Team tests mapped to MITRE ATT&CK techniques, performs coverage gap analysis, and runs detection validation loops to measure blue team visibility.
24.6k · bundle
solizardking Songsee
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
0
jiachen-t-wang Multimodal Learning With Transformers A Survey Arxiv 2206 06
Multimodal Learning with Transformers: A Survey
6