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	<title>生信菜鸟团 &#187; ChIPseek</title>
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		<title>用网页版工具ChIPseek来可视化CHIP-seq的peaks结果</title>
		<link>http://www.bio-info-trainee.com/1773.html</link>
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		<pubDate>Thu, 07 Jul 2016 12:56:10 +0000</pubDate>
		<dc:creator><![CDATA[ulwvfje]]></dc:creator>
				<category><![CDATA[基础软件]]></category>
		<category><![CDATA[ChIPseek]]></category>
		<category><![CDATA[Motif]]></category>
		<category><![CDATA[Peak]]></category>
		<category><![CDATA[可视化]]></category>
		<category><![CDATA[表观遗传学]]></category>

		<guid isPermaLink="false">http://www.bio-info-trainee.com/?p=1773</guid>
		<description><![CDATA[一般做完一个CHIP-seq测序，如果实验设计没有问题，测序质量也OK的话，很容 &#8230; <a href="http://www.bio-info-trainee.com/1773.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<div>一般做完一个CHIP-seq测序，如果实验设计没有问题，测序质量也OK的话，很容易了根据序列call到符合要求的peaks，或者可以去很多文章或者roadmap里面下载到非常多有意义的peaks文件， 一般是BED格式文件，这是就需要对这些peaks进行各种各样的注释以及可视化了，此时不得不强烈推荐一款网页版工具，是台湾学者开发的ChIPseek：</div>
<p><span id="more-1773"></span></p>
<div>该工具首页就show了8张图片，就说明了该软件的功能：<a href="http://chipseek.cgu.edu.tw/index_show.py">http://chipseek.cgu.edu.tw/index_show.py</a></div>
<div>该工具本质是就是后台调用 <a href="http://homer.salk.edu/homer/motif/">HOMER</a> 和<a href="http://bedtools.readthedocs.org/en/latest/">BEDTools</a>, 这两个软件，使得那些不会编程的生物学家可以更方便快捷的理解自己的CHIP-seq结果，功能包括：</div>
<div>
<ol>
<li><b><span style="color: #ff0000;">annotate the peaks</span></b></li>
<li><b><span style="color: #ff0000;">link to UCSC genome browser</span></b></li>
<li><b><span style="color: #ff0000;">provide pie charts, histograms and bar charts for peak location distribution</span></b></li>
<li>apply filter criteria by peak length to get a subset of peaks</li>
<li>apply filter criteria by distance to nearest TSS to get a subset of peaks</li>
<li>apply filter criteria by location of the peaks</li>
<li>apply filter criteria by list(s) of genes</li>
<li>apply filter criteria by GO terms</li>
<li>apply filter criteria by KEGG pathway annotations</li>
<li><span style="color: #ff0000;"><b>compare two datasets</b></span></li>
<li><span style="color: #ff0000;"><b>compare dataset with ENCODE transcription factor dataset</b></span></li>
<li><span style="color: #ff0000;"><b>identify enriched motif</b></span></li>
<li><span style="color: #ff0000;"><b>plot peaks on chromosome ideograms</b></span></li>
<li>allow users to download figures or tables</li>
</ol>
</div>
<div>大部分功能自己写脚本也能实现，我就不多说了。</div>
<div></div>
<div>使用方法非常简单：</div>
<div>首先进入分析界面：<a href="http://chipseek.cgu.edu.tw/analysis_form.php">http://chipseek.cgu.edu.tw/analysis_form.php</a></div>
<div>然后上传自己想要分析的peaks文件</div>
<div>比如GSE50177里面的GSE50177_RAW.tar：<a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50177">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50177</a></div>
<div>我拿了四个peaks文件测试了一下：</div>
<div><img src="file:///C:/Users/Jimmy/AppData/Local/YNote/data/jmzeng1314@163.com/7cf93528e84d4dc6b4423a318764979a/clipboard.png" alt="" data-media-type="image" data-attr-org-src-id="D968C7492DE94D9196CD496AC8D6A039" data-attr-org-img-file="file:///C:/Users/Jimmy/AppData/Local/YNote/data/jmzeng1314@163.com/7cf93528e84d4dc6b4423a318764979a/clipboard.png" /><a href="http://www.bio-info-trainee.com/wp-content/uploads/2016/07/web-tools-chip-seeker-submit.png"><img class="alignnone size-full wp-image-1774" src="http://www.bio-info-trainee.com/wp-content/uploads/2016/07/web-tools-chip-seeker-submit.png" alt="web-tools-chip-seeker-submit" width="547" height="491" /></a></div>
<div>提交任务后，文件就会上传，然后网页会给一个job ID号，如果你是在一个月之内看到这篇文章，你可以直接拿我的ID号去看结果，不需要自己上传自己的文件了，当然，你肯定是需要分析自己的peaks结果的。</div>
<div>
<p>ChIPseek is annotating your file(s).</p>
<p>This page will <strong>automatically refresh</strong> every 60 seconds.</p>
<p>Alternatively, You may use the <strong>job ID: 1467890358.407</strong> to visit ChIPseek latter.</p>
</div>
<div>一会儿就可以看到结果了，因为网页版工具的服务器容量有限，所以这个结果一个月内是有效的。</div>
<div>
<div><a href="http://chipseek.cgu.edu.tw/main_menu.py?job_id=1467890358.407">http://chipseek.cgu.edu.tw/main_menu.py?job_id=1467890358.407</a></div>
</div>
<div><strong>GSM1278641_Xu_MUT_rep1_BAF155_MUT </strong>(a total of 6733 peaks) <a href="http://chipseek.cgu.edu.tw/downloadfile.php?file=jobs/1467890358.407/GSM1278641_Xu_MUT_rep1_BAF155_MUT_annotation_withHyperlink.txt">(Download all annotation results)</a></div>
<div><strong>GSM1278643_Xu_MUT_rep2_BAF155_MUT </strong>(a total of 3625 peaks) <a href="http://chipseek.cgu.edu.tw/downloadfile.php?file=jobs/1467890358.407/GSM1278643_Xu_MUT_rep2_BAF155_MUT_annotation_withHyperlink.txt">(Download all annotation results)</a></div>
<div><strong>GSM1278645_Xu_WT_rep1_BAF155 </strong>(a total of 10987 peaks) <a href="http://chipseek.cgu.edu.tw/downloadfile.php?file=jobs/1467890358.407/GSM1278645_Xu_WT_rep1_BAF155_annotation_withHyperlink.txt">(Download all annotation results)</a></div>
<div><strong>GSM1278647_Xu_WT_rep2_BAF155 </strong>(a total of 5225 peaks) <a href="http://chipseek.cgu.edu.tw/downloadfile.php?file=jobs/1467890358.407/GSM1278647_Xu_WT_rep2_BAF155_annotation_withHyperlink.txt">(Download all annotation results)</a></div>
<div>把每个文件的每个peaks都注释了，而且提供带链接的下载结果，tab分割的纯文本文件，用excel打开可能看起来舒服一点</div>
<div>还有4个可视化图片是我们可能会比较感兴趣的：</div>
<div>
<div>Peak location (pie chart)</div>
<div>Peak location (bar chart)</div>
<div>Distance to TSS</div>
<div>Peak length distribution</div>
</div>
<div>以及它可以把我们上传的bed格式peaks区域文件转为fasta序列 Peak sequences</div>
<div>本质是根据坐标从参考基因组里面提取序列而已，我把所有的序列都下载下来了，可以用来直接做motif查找</div>
<div>
<div><b>$ ls -lh  *fasta</b></div>
<div>-rw-r–r– 1 Jimmy 197121  18M Jul  7 19:40 GSM1278641_Xu_MUT_rep1_BAF155_MUT_sequence.fasta</div>
<div>-rw-r–r– 1 Jimmy 197121 9.9M Jul  7 19:38 GSM1278643_Xu_MUT_rep2_BAF155_MUT_sequence.fasta</div>
<div>-rw-r–r– 1 Jimmy 197121  26M Jul  7 19:41 GSM1278645_Xu_WT_rep1_BAF155_sequence.fasta</div>
<div>-rw-r–r– 1 Jimmy 197121  14M Jul  7 19:41 GSM1278647_Xu_WT_rep2_BAF155_sequence.fasta</div>
</div>
<div></div>
<p>&nbsp;</p>
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