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{{#vardefine:param_tssid | {{#urlget:id|}} }}
<html>
{{#ask:[[tss_id::{{#var:param_tssid}}]]
<style>
|?distance_to_tss
/* メニュー全体 */
|?nearest_promoter_id
.menu {
|?entrez_id
  width: 100%;
|?nearest_unigene
}
|?nearest_refseq
 
|?nearest_ensembl
/* チェックボックスは非表示にする(内部的な Off/On の機能だけ利用する) */
|?gene_name
.menu input {
|?gene_alias
    display: none;
|?gene_description
}
|?gene_type
 
|?cpg_percent
/* 開いた状態のサブメニュー */
|?gc_percent
.menu input:checked + ul {
|?tata_box
    display: block;
|format=template
}
|template=TATA-Box_annotation
 
|template arguments=named
/* 閉じた状態のサブメニュー */
|named args=yes
.menu ul {
}}
    display: none;
    /* 下記は開閉によらず共通の設定 */
    background: #fff;
    list-style: none;
    margin: 0;
    padding: 1rem;
}
 
/* 親項目の装飾 */
.menu label {
    display: block;
    margin: 0;
    padding: 0.5rem;
    background: #fff;
    cursor: pointer;
}
 
.menu label:hover {
    color: blue;
}
</style>
<div class="menu">
  <label for="item1">Q1. Is there dataset of transcription start sites collected with only noncording RNA regions?</label>
  <input type="checkbox" id="item1">
  <ul>
    <li>A1. Currently, there are no data that collects only the transcription start sites of non-coding RNAs. It is possible to extract noncording RNAs by concatenating the GENCODE annotation file and the following files:<br>
<a href="http://reftss.clst.riken.jp/datafiles/3.0/human/refTSS_v3.0_human_annotation.txt.gz">http://reftss.clst.riken.jp/datafiles/3.0/human/refTSS_v3.0_human_annotation.txt.gz</a><br>
<a href="http://reftss.clst.riken.jp/datafiles/3.0/mouse/refTSS_v3.0_mouse_annotation.txt.gz">http://reftss.clst.riken.jp/datafiles/3.0/mouse/refTSS_v3.0_mouse_annotation.txt.gz</a>
</li>
  </ul>
  <label for="item2">Q2. Why the range of some TSSs are so much greater than others? For most TSSs the range is in the region of 8-24 bp, while for others the range is over 100 bp.</label>
  <input type="checkbox" id="item2">
  <ul>
    <li>A2. The range of TSSs is in the region of 8-24 bp, while for others the range can be over 100 bp. We computationally identify TSS regions based on the mapping results with 5'-end sequences.</li>
  </ul>
</div>
</html>

Revision as of 15:00, 18 June 2021