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import React from "react"; | ||
import { Link } from "react-router-dom"; | ||
import { motion } from "framer-motion"; | ||
|
||
export default function Footer() { | ||
return ( | ||
<motion.footer initial={{ opacity: 0 }} animate={{ opacity: 1 }} transition={{delay:0.2}}> | ||
<div className="footer-container"> | ||
<div className="left"> | ||
<ul> | ||
<li> | ||
<Link to="/">Home</Link> | ||
</li> | ||
<li> | ||
<Link to="/download">Download</Link> | ||
</li> | ||
<li> | ||
<Link to="/features">Features</Link> | ||
</li> | ||
<li> | ||
<Link to="/tutorials/All">Tutorials</Link> | ||
</li> | ||
<li> | ||
<Link to="/documentation/home">Documentation</Link> | ||
</li> | ||
</ul> | ||
</div> | ||
<div className="vertical-line"></div> | ||
<div className="right"> | ||
<ul> | ||
<li> | ||
<strong>Nathan Pankratz, PhD</strong> | ||
</li> | ||
<li>Associate Professor of Laboratory Medicine & Pathology</li> | ||
<li>University of Minnesota</li> | ||
<li>515 Delaware Street SE Minneapolis, MN 55455</li> | ||
</ul> | ||
<ul> | ||
<li>612-624-2456</li> | ||
<li>pankr018@umn.edu</li> | ||
<li> | ||
<Link>YouTube</Link> | ||
</li> | ||
<li> | ||
<Link>LinkedIn</Link> | ||
</li> | ||
</ul> | ||
</div> | ||
</div> | ||
</motion.footer> | ||
); | ||
} |
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import React from "react"; | ||
import { Link } from "react-router-dom"; | ||
import Footer from "../../../assets/components/Footer"; | ||
import { motion } from "framer-motion"; | ||
|
||
export default function index() { | ||
return ( | ||
<main> | ||
<h1>Home</h1> | ||
</main> | ||
<> | ||
<header className="home-header"> | ||
<div className="header"> | ||
<h1> | ||
Automated best practices for processing and visualizing <br /> genomic data | ||
</h1> | ||
<div className="buttons"> | ||
<Link className="download" to="/download"> | ||
Download Genvisis | ||
</Link> | ||
<Link className="documentation" to="/documentation/home"> | ||
Documentation | ||
</Link> | ||
</div> | ||
<img | ||
src="src/assets/pages/home/images/Genvisis-Graphic1.png" | ||
alt="background graphic" | ||
className="header-background-graphic" | ||
/> | ||
<img | ||
src="src/assets/pages/home/images/computer-screen.png" | ||
alt="computer screen" | ||
className="computer-screen" | ||
/> | ||
<img | ||
src="src/assets/pages/home/images/home-page-image.png" | ||
alt="Screenshot of the Genvisis Software" | ||
className="computer-screen-image" | ||
/> | ||
<motion.img | ||
initial={{ opacity: 0, x: 50 }} | ||
animate={{ opacity: 1, x: 0 }} | ||
transition={{duration: 0.6, x:{duration: 1, ease: [0, 0.89, 0.08, 1]}}} | ||
src="src/assets/pages/home/images/home-page-image1.png" | ||
alt="Screenshot of the Genvisis Software" | ||
className="floating-window-image" | ||
/> | ||
</div> | ||
<div className="home-custom-shape-divider home-dividers"> | ||
<svg | ||
data-name="Layer 1" | ||
xmlns="http://www.w3.org/2000/svg" | ||
viewBox="0 0 1200 120" | ||
preserveAspectRatio="none" | ||
> | ||
<path | ||
d="M600,112.77C268.63,112.77,0,65.52,0,7.23V120H1200V7.23C1200,65.52,931.37,112.77,600,112.77Z" | ||
fill="rgb(255, 255, 255)" | ||
></path> | ||
</svg> | ||
</div> | ||
</header> | ||
<main className="home"> | ||
<section className="section1"> | ||
<div className="section-image-container"> | ||
<div className="image-backdrop"> | ||
<img | ||
src="src/assets/pages/home/images/home-page-image2.png" | ||
alt="Screenshot of the Genvisis Software" | ||
/> | ||
</div> | ||
</div> | ||
<div className="content"> | ||
<h2>Dynamic visualization</h2> | ||
<p> | ||
Genvisis is a robust software package that takes advantage of unique | ||
compressed data structures to efficiently process, assess quality of, | ||
analyze, and visualize the intensity data from GWAS arrays. | ||
</p> | ||
<p> | ||
Specialized algorithms are used to call CNVs, and each algorithm uses its | ||
own approach. Genvisis allows a CNV to be inspected by visualizing | ||
boundaries overlaid with probe intensities. | ||
</p> | ||
</div> | ||
</section> | ||
<section className="section2"> | ||
<div className="content"> | ||
<h2>Powerful features for experts and novices</h2> | ||
<p> | ||
Genvisis is an open-source, end-to-end solution for processing raw array | ||
data and deep resequencing data into variant calls, especially copy number | ||
variant calls. It also introduces novel methodology to optimize accuracy by | ||
directly addressing the effects of DNA quality, DNA quantity, and | ||
batch/plate/flow cell in the data normalization. | ||
</p> | ||
<Link to="/features">View Features</Link> | ||
</div> | ||
<img | ||
src="src/assets/pages/home/images/Features-Graphic.svg" | ||
alt="Genvisis Graphic" | ||
/> | ||
</section> | ||
<div className="home-custom-shape-divider home-dividers"> | ||
<svg | ||
data-name="Layer 1" | ||
xmlns="http://www.w3.org/2000/svg" | ||
viewBox="0 0 1200 120" | ||
preserveAspectRatio="none" | ||
> | ||
<path d="M600,112.77C268.63,112.77,0,65.52,0,7.23V120H1200V7.23C1200,65.52,931.37,112.77,600,112.77Z"></path> | ||
</svg> | ||
</div> | ||
<section className="section3"> | ||
<div className="content"> | ||
<h2>Simplifying complex analyses</h2> | ||
<p> | ||
Developed in the Pankratz Lab at the University of Minnesota, Genvisis | ||
introduces novel methodologies and streamlines genomic workflows. | ||
</p> | ||
</div> | ||
<div className="graphic-container"> | ||
<img | ||
src="src/assets/pages/home/images/Genvisis-Graphic.png" | ||
alt="Genvisis Graphic" | ||
/> | ||
</div> | ||
<div className="download-link"> | ||
<Link to="/download">Download Genvisis</Link> | ||
</div> | ||
</section> | ||
</main> | ||
<Footer /> | ||
</> | ||
); | ||
} |
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