Update site content and build

Author: Thomas Girke

content/en/about/project.md

@@ -27,7 +27,7 @@ This website serves primarily as a landing page that provides a high-level overv
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-[_systemPipeR_](https://bioconductor.org/packages/devel/bioc/html/systemPipeR.html) is the core workflow management package of the project. It enables users to define, organize, and execute workflows that integrate R-based analysis with external command-line software ([H Backman and Girke 2016](https://link.springer.com/article/10.1186/s12859-016-1241-0)). An automated scientific reporting framework is an integral component of the package, supporting reproducible and transparent analyses.
+[_systemPipeR_](https://bioconductor.org/packages/devel/bioc/html/systemPipeR.html) is the core workflow management package of the project. It enables users to define, organize, and execute workflows that integrate R-based analysis with external command-line software ([H Backman and Girke 2016](https://link.springer.com/article/10.1186/s12859-016-1241-0)). An automated scientific reporting framework is an integral component of the package, supporting reproducible and transparent analyses. To simplify deployment and maximize reproducibility, systemPipeR is available as a Docker image on Docker Hub [here](https://hub.docker.com/r/systempipe/systempipe_docker).
 
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public/about/project/index.html

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 <meta property="og:url" content="http://localhost:1313/about/project/" /><meta property="article:section" content="about" />
 
-<meta property="article:modified_time" content="2026-02-13T15:55:36-08:00" />
+<meta property="article:modified_time" content="2026-02-13T17:25:25-08:00" />
 
 <meta itemprop="name" content="About Project">
 <meta itemprop="description" content="Overview The systemPipe project provides a suite of R/Bioconductor packages for designing, building, and executing end-to-end data analysis workflows on local machines and high-performance computing (HPC) systems, while simultaneously generating publication-quality analysis reports.
 This website serves primarily as a landing page that provides a high-level overview of each package and links to their corresponding pages on Bioconductor. Detailed usage instructions, examples, and technical documentation are available in the package vignettes hosted on Bioconductor (linked below).">
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 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary"/><meta name="twitter:title" content="About Project"/>
 <meta name="twitter:description" content="Overview The systemPipe project provides a suite of R/Bioconductor packages for designing, building, and executing end-to-end data analysis workflows on local machines and high-performance computing (HPC) systems, while simultaneously generating publication-quality analysis reports.
 This website serves primarily as a landing page that provides a high-level overview of each package and links to their corresponding pages on Bioconductor. Detailed usage instructions, examples, and technical documentation are available in the package vignettes hosted on Bioconductor (linked below)."/>
@@ -347,7 +347,7 @@ <h4 style="margin: 0;">systemPipeR: Workflow Management System (WMS)</h4>
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-<p><a href="https://bioconductor.org/packages/devel/bioc/html/systemPipeR.html"><em>systemPipeR</em></a> is the core workflow management package of the project. It enables users to define, organize, and execute workflows that integrate R-based analysis with external command-line software (<a href="https://link.springer.com/article/10.1186/s12859-016-1241-0">H Backman and Girke 2016</a>). An automated scientific reporting framework is an integral component of the package, supporting reproducible and transparent analyses.</p>
+<p><a href="https://bioconductor.org/packages/devel/bioc/html/systemPipeR.html"><em>systemPipeR</em></a> is the core workflow management package of the project. It enables users to define, organize, and execute workflows that integrate R-based analysis with external command-line software (<a href="https://link.springer.com/article/10.1186/s12859-016-1241-0">H Backman and Girke 2016</a>). An automated scientific reporting framework is an integral component of the package, supporting reproducible and transparent analyses. To simplify deployment and maximize reproducibility, systemPipeR is available as a Docker image on Docker Hub <a href="https://hub.docker.com/r/systempipe/systempipe_docker">here</a>.</p>
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   <h4 style="margin: 0;">systemPipeRdata: Workflow Templates</h4>
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     Last modified
     2026-02-13
-    : <a  href="https://github.com/systemPipeR/systemPipeR.github.io/commit/9180af2949e9e037c6dd5069e8d6a461bc1b8376">Update site content and build (9180af29)</a>
+    : <a  href="https://github.com/systemPipeR/systemPipeR.github.io/commit/b2740fefd9fb5b877beacacedb6ee5aabc4138ca">Update site content and build (b2740fef)</a>
 
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public/sitemap.xml

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     <lastmod>2021-04-22T15:46:31-07:00</lastmod>
   </url><url>
     <loc>http://localhost:1313/about/project/</loc>
-    <lastmod>2026-02-13T15:55:36-08:00</lastmod>
+    <lastmod>2026-02-13T17:25:25-08:00</lastmod>
   </url><url>
     <loc>http://localhost:1313/sps/modules/rnaseq/</loc>
     <lastmod>2022-11-03T17:18:58-07:00</lastmod>