npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

ideogram-grandomics

v1.12.3

Published

Chromosome visualization with D3.js

Downloads

13

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

win19890412win19890412

Keywords

chromosomeideogramcytogeneticsgenomicsvisualizationd3

Readme

ideogram

Build Status Coverage Status

Ideogram.js is a JavaScript library for chromosome visualization.

Ideogram supports drawing and animating genome-wide datasets for human, mouse, and many other eukaryotes. The Ideogram API for annotations supports histograms, heatmaps, overlays, and points of arbitrary shape and color layered in tracks. Ideogram can depict haploid, diploid or higher ploidy genomes (e.g. plants), as well as aneuploidy, genetic recombination, and homologous features between chromosomes.

Ideogram can be embedded as a reusable component in any web page or application, and leverages D3.js and SVG to achieve fast, crisp client-side rendering. You can also integrate Ideogram with JavaScript frameworks like Angular, React, and Vue, as well as data science platforms like R and Jupyter Notebook.

All human genes

Check out live examples, get up and running with your own deployment, skim basic usage, or dive into the full API!

A broader overview is also available. It discusses Ideogram's chromosome biology, technical architecture, and more.

Installation

To link directly to the latest release, copy this snippet:

<script src="https://unpkg.com/[email protected]/dist/js/ideogram.min.js"></script>

You can also easily use the library locally:

$ cd <your local web server document root>
$ git clone https://github.com/eweitz/ideogram.git

Then go to http://localhost/ideogram/examples/.

Or, if you use npm:

npm install ideogram

You can then import Ideogram into an application like so:

import Ideogram from 'ideogram';

Usage

<head>
  <script src="https://unpkg.com/[email protected]/dist/js/ideogram.min.js"></script>
</head>
<body>
<script>
  var ideogram = new Ideogram({
    organism: 'human',
    annotations: [{
      name: 'BRCA1',
      chr: '17',
      start: 43044294,
      stop: 43125482
    }]
  });
</script>
</body>

Many more usage examples are available at https://eweitz.github.io/ideogram/.

You can also find examples of integrating Ideogram with JavaScript frameworks like Angular, React, and Vue, as well as data science platforms like R and Jupyter Notebook.

API

See the Ideogram API reference for detailed documentation on configuration options and methods.