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<a href="https://hbctraining.github.io/Intro-to-ChIPseq/lessons/05_peak_calling_macs.html" rel="nofollow ugc">https://hbctraining.github.io/Intro-to-ChIPseq/lessons/05_peak_calling_macs.html</a><br />
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<p dir="auto"><a href="https://angus.readthedocs.io/en/2019/chip-seq.html" rel="nofollow ugc">https://angus.readthedocs.io/en/2019/chip-seq.html</a><br />
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]]></description><link>http://an.forum.genostack.com/topic/748/chip-seq</link><generator>RSS for Node</generator><lastBuildDate>Sat, 13 Jun 2026 12:35:36 GMT</lastBuildDate><atom:link href="http://an.forum.genostack.com/topic/748.rss" rel="self" type="application/rss+xml"/><pubDate>Mon, 08 Aug 2022 03:58:02 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to chip-seq on Wed, 10 Aug 2022 06:53:55 GMT]]></title><description><![CDATA[<p dir="auto"><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828144/" rel="nofollow ugc">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828144/</a><br />
Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data<br />
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]]></description><link>http://an.forum.genostack.com/post/1785</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1785</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Wed, 10 Aug 2022 06:53:55 GMT</pubDate></item><item><title><![CDATA[Reply to chip-seq on Wed, 17 Aug 2022 12:37:01 GMT]]></title><description><![CDATA[<p dir="auto"><a href="/assets/uploads/files/1660041421205-focus-computational-biology-series-bardet-ana%C3%AFs-f._-mifsud-borbala_-zarnack-katharina-practical-guide-to-chip-seq_-data-analysis-crc-press-2019.pdf">(Focus computational biology series) Bardet, Anaïs F._ Mifsud, Borbala_ Zarnack, Katharina - Practical guide to ChIP-seq_ data analysis-CRC Press (2019).pdf</a></p>
<p dir="auto">本书附件<br />
<a href="https://anaisbardet.cnrs.fr/practical-guide-to-chip-seq-data-analysis/" rel="nofollow ugc">https://anaisbardet.cnrs.fr/practical-guide-to-chip-seq-data-analysis/</a></p>
<p dir="auto"><a href="/assets/uploads/files/1660739801935-documents-export-2022-08-17.zip">documents-export-2022-08-17.zip</a></p>
]]></description><link>http://an.forum.genostack.com/post/1783</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1783</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Wed, 17 Aug 2022 12:37:01 GMT</pubDate></item><item><title><![CDATA[Reply to chip-seq on Tue, 09 Aug 2022 08:35:24 GMT]]></title><description><![CDATA[<p dir="auto">测试数据：<br />
<a href="https://www.sciencedirect.com/science/article/pii/S009286740800617X" rel="nofollow ugc">https://www.sciencedirect.com/science/article/pii/S009286740800617X</a></p>
<p dir="auto">该测试省略了质控QC 步骤  参考七桥的过程 把QC和去重也加上。<br />
1.构建参考基因组索引<br />
系统要内置人类和鼠的参考基因组</p>
<pre><code>bowtie2-build mm10.fa mm10
</code></pre>
<p dir="auto">2.比对<br />
chip-seq通常有个对照样本 但是这个对照样本是可选的 我们在流程中设定为可选步骤</p>
<pre><code>bowtie2 -x mm10 -U SRR002012_Oct4.fastq -S Oct4.sam -p 6
samtools sort Oct4.sam -O Oct4_sorted.bam
bowtie2 -x mm10 -U SRR001996_GFP_Control.fastq -S GFP.sam -p 6
samtools sort GFP.sam -o GFP_sorted.bam
</code></pre>
<p dir="auto">3.call peak<br />
name、gsize、tsize暴露为参数</p>
<pre><code>macs2 callpeak -t Oct4_sorted.bam -c GFP_sorted.bam --format=BAM --name=Oct4 --gsize=138000000 --tsize=26
</code></pre>
<p dir="auto">该流程的结果可视化 可以直接使用IGV 查看bed文件</p>
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