Wei Ouyang oeway

## broadcastConnectionOnly.js
/**
 * Contains the routines loaded by the plugin iframe under web-browser
 * in case when worker failed to initialize
 *
 * Initializes the web environment version of the platform-dependent
 * connection object for the plugin site
 */
import { connectRPC } from "./pluginCore.js";
import { RPC, API_VERSION } from "./rpc.js";
import { MessageEmitter, randId, normalizeConfig } from "./utils.js";

## cross-tab-webrtc.html
<body>
<button id="button" onclick="connect()">Connect</button>
<div id="div"></div><input id="chat"></input><br>
<script src="https://webrtc.github.io/adapter/adapter-latest.js"></script>
<script>
var pc = new RTCPeerConnection(), dc, enterPressed = e => e.keyCode == 13;

var connect = () => init(dc = pc.createDataChannel("chat"));
pc.ondatachannel = e => init(dc = e.channel);

## HPA-UMAP-Nucleolus.imjoy.html
<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "HPA-UMAP-Nucleolus",
  "type": "web-worker",
  "tags": [],
  "ui": "",

## imjoy-slides-plotly.md

      
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    ImJoy Slide Demos


Plotly demo


## NGFF-Loader.imjoy.html
<docs>
# NGFF image file Loader for ImageJ.JS

[Next-generation file formats](https://ngff.openmicroscopy.org/latest/) is a specification for storing bioimaging data in the cloud.

This plugin enalbes loading NGFF image into ImageJ.JS.

The implementation is adapted from the [OMERO ImJoy](https://github.com/will-moore/omero-imjoy) made by @will-moore

</docs>

## HPA-UMAP-Studio.imjoy.html
<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "HPA-UMAP-Studio",
  "type": "web-worker",
  "tags": [],
  "ui": "",

## uniprot_to_emsembl_conversion.py
import gzip

# download idmapping.dat.gz from uniprot
# wget ftp://ftp.ebi.ac.uk/pub/databases/uniprot/current_release/knowledgebase/idmapping/idmapping.dat.gz
id_mapping_file = './idmapping.dat.gz'

id_mapping = {}
for line in gzip.open(id_mapping_file):
    line = line.decode('utf8').strip()
    ac, pred, obj = line.split('\t')

## VueMaterialBackbone.imjoy.html
<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "VueMaterialBackbone",
  "type": "window",
  "tags": [],
  "ui": "",

## VizarrFigshare.imjoy.html
<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "VizarrFigshare",
  "type": "web-worker",
  "tags": [],
  "ui": "",

## VizarrReferenceStore-Zenodo.imjoy.html
<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "VizarrReferenceStore",
  "type": "web-worker",
  "tags": [],
  "ui": "",
	/**
	* Contains the routines loaded by the plugin iframe under web-browser
	* in case when worker failed to initialize
	*
	* Initializes the web environment version of the platform-dependent
	* connection object for the plugin site
	*/
	import { connectRPC } from "./pluginCore.js";
	import { RPC, API_VERSION } from "./rpc.js";
	import { MessageEmitter, randId, normalizeConfig } from "./utils.js";
	<body>
	<button id="button" onclick="connect()">Connect</button>
	<div id="div"></div><input id="chat"></input><br>
	<script src="https://webrtc.github.io/adapter/adapter-latest.js"></script>
	<script>
	var pc = new RTCPeerConnection(), dc, enterPressed = e => e.keyCode == 13;

	var connect = () => init(dc = pc.createDataChannel("chat"));
	pc.ondatachannel = e => init(dc = e.channel);
	<docs>
	[TODO: write documentation for this plugin.]
	</docs>

	<config lang="json">
	{
	"name": "HPA-UMAP-Nucleolus",
	"type": "web-worker",
	"tags": [],
	"ui": "",
	<docs>
	# NGFF image file Loader for ImageJ.JS

	[Next-generation file formats](https://ngff.openmicroscopy.org/latest/) is a specification for storing bioimaging data in the cloud.

	This plugin enalbes loading NGFF image into ImageJ.JS.

	The implementation is adapted from the [OMERO ImJoy](https://github.com/will-moore/omero-imjoy) made by @will-moore

	</docs>
	import gzip

	# download idmapping.dat.gz from uniprot
	# wget ftp://ftp.ebi.ac.uk/pub/databases/uniprot/current_release/knowledgebase/idmapping/idmapping.dat.gz
	id_mapping_file = './idmapping.dat.gz'

	id_mapping = {}
	for line in gzip.open(id_mapping_file):
	line = line.decode('utf8').strip()
	ac, pred, obj = line.split('\t')
	<docs lang="markdown">
	[TODO: write documentation for this plugin.]
	</docs>

	<config lang="json">
	{
	"name": "VueMaterialBackbone",
	"type": "window",
	"tags": [],
	"ui": "",