signal_processing

PyOpenMS provides algorithms for processing raw mass spectrometry data including smoothing, filtering, peak picking, centroiding, normalization, and deconvolution.

Skills
Scientific
4

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

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Install (Claude Code)

mkdir -p .claude/skills/signal-processing && curl -fsSL https://doutorai.pt/data/lib/skills__signal-processing.md -o .claude/skills/signal-processing/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Signal Processing

## Overview

PyOpenMS provides algorithms for processing raw mass spectrometry data including smoothing, filtering, peak picking, centroiding, normalization, and deconvolution.

## Algorithm Pattern

Most signal processing algorithms follow a standard pattern:

```python
import pyopenms as ms

# 1. Create algorithm instance
algo = ms.AlgorithmName()

# 2. Get and modify parameters
params = algo.getParameters()
params.setValue("parameter_name", value)
algo.setParameters(params)

# 3. Apply to data
algo.filterExperiment(exp)  # or filterSpectrum(spec)
```

## Smoothing

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