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Merge pull request michabirklbauer#10 from michabirklbauer/develop
Use local images
2 parents 154a4a3 + 2995f02 commit 7e630f7

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app/layout.jsx

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<Navbar
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logo={
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<>
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<img src="https://github.com/hgb-bin-proteomics/pyXLMS/raw/master/docs/logo/logo.png" width="48" style={{padding: '0px 10px 0px 0px'}}/>
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<img src="/logo.png" width="48" height="48" style={{padding: '0px 10px 0px 0px'}}/>
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<h1>pyXLMS</h1>
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</>
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}

content/docs/index.mdx

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# Introduction
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**pyXLMS** is a python package and web application with graphical user interface that aims to simplify and streamline the intermediate step of
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connecting crosslink search engine results with down-stream analysis tools, enabling researchers even without bioinformatics knowledge to
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conduct in-depth crosslink analyses and shifting the focus from data transformation to data interpretation and therefore gaining biological
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insight.
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</div>
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![Workflow of pyXLMS"](/workflow.png)
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<div style={{ textAlign: 'left' }}>
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_**Figure 1:** Overview of available functionality in pyXLMS as of version 1.4.3 [August 2025]._
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</div>
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<br/>
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<div style={{ textAlign: 'justify' }}>
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Currently pyXLMS supports input from seven different crosslink search engines:
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[MaxLynx (part of MaxQuant)](https://www.maxquant.org/),
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[MeroX](https://www.stavrox.com/),
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pyMOL (via [pyXlinkViewer](https://github.com/BobSchiffrin/PyXlinkViewer)),
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ChimeraX (via [XMAS](https://github.com/ScheltemaLab/ChimeraX_XMAS_bundle)),
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or [IMP-X-FDR](https://github.com/vbc-proteomics-org/imp-x-fdr).
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</div>

content/index.mdx

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<img src="https://github.com/hgb-bin-proteomics/pyXLMS/raw/master/docs/logo/logo_padded_shadow.png" alt="pyXLMS logo" align="left" width={200} style={{padding: '5px 20px 10px 0px',}}/>
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<Image src="/logo_padded_shadow.png" alt="pyXLMS logo" align="left" width={200} height={200} style={{padding: '5px 20px 10px 0px',}}/>
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**pyXLMS** is a python package and web application with graphical user interface that aims to simplify and streamline the intermediate step of
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connecting crosslink search engine results with down-stream analysis tools, enabling researchers even without bioinformatics knowledge to

public/logo.png

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public/logo_padded_shadow.png

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public/workflow.png

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