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**MDAnalysis**is an open-source Python library for analyzing molecular dynamics (MD) trajectories across [multiple formats]({{site.pypi.docs}}/documentation_pages/coordinates/init.html#id1). It enables seamless reading and writing of simulation data, allowing users to efficiently analyze molecular structures and dynamics, including particle-based trajectories and individual coordinate frames (e.g., biomolecules in the [PDB format][]).
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The **MDAnalysis Project** develops open-source tools for the analysis of molecular simulation data, providing researchers with efficient and accessible solutions for studying molecular structures and dynamics. The project is a fiscally sponsored initiative of [NumFOCUS][], a nonprofit organization that supports open-source scientific computing.
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At the core of the project is MDAnalysis, **an open-source Python library** for analyzing molecular dynamics (MD) trajectories across [multiple formats]({{site.docs.userguide.url }}/formats/index.html#formats). MDAnalysis enables seamless reading and writing of simulation data, allowing users to efficiently analyze molecular structures and dynamics, including particle-based trajectories and individual coordinate frames (e.g., biomolecules in the [PDB format][]).
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With MDAnalysis, you can access atomic coordinates as [NumPy][] arrays, providing a flexible and efficient framework for complex analysis tasks. The library includes powerful [atom selection commands]({{site.pypi.docs}}/documentation_pages/selections.html) for extracting subsets of structures, supports trajectory transformations (e.g., fitting to a reference structure), and can write out trajectories along with [atom selections]({{site.pypi.docs}}/documentation_pages/selections_modules.html#selection-exporters) in formats suitable for visualization or native analysis tools.
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With MDAnalysis, you can access atomic coordinates as [NumPy][] arrays, providing a flexible and efficient framework for complex analysis tasks. The library includes powerful [atom selection commands]({{site.docs.userguide.url }}/selections.html) for extracting subsets of structures and supports trajectory transformations (e.g., fitting to a reference structure).
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Learn more about our **mission, development, team, and governance** on the [About MDAnalysis]({{ site.baseurl }}about/) page.
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Learn more about our **mission, development, team, and governance** on the [About MDAnalysis]({{ site.baseurl }}/about/) page.
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## Get Started
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MDAnalysis is driven by an active **community of users and contributors**. Stay updated and get involved through the following pages:
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If you use MDAnalysis in your research, please cite it appropriately and consider displaying our MDAnalysis badge in your projects. All citation formats and badge instructions are available in our [Citation guidelines]({{ site.baseurl }}/pages/citations/).
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## Funding & Support
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Additionally, consider displaying our badge in your projects that use MDAnalysis. We provide several [embedding markup examples]({{ site.baseurl }}/pages/citations/#powered-by-mdanalysis).
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MDAnalysis has received generous support from organizations such as the **Chan Zuckerberg Initiative, Google, NumFOCUS, and the National Science Foundation**.
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[](https://www.mdanalysis.org)
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To learn more about out Sponsors or how to support MDAnalysis, visit our [Funding]({{ site.baseurl }}/pages/funding/) page.
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## Funding & Support
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MDAnalysis is a fiscally sponsored project of [NumFOCUS][]. We have received generous support from organizations such as the **Chan Zuckerberg Initiative, Google, and the National Science Foundation**.
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[](https://www.mdanalysis.org)
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{{ site.numfocus.donate_button }}
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To learn more about our Sponsors or how to support MDAnalysis, visit our [Funding]({{ site.baseurl }}/pages/funding/) page.
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