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	<title>生信菜鸟团 &#187; oncotator</title>
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		<title>使用oncotator做突变注释</title>
		<link>http://www.bio-info-trainee.com/1287.html</link>
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		<pubDate>Tue, 05 Jan 2016 11:51:53 +0000</pubDate>
		<dc:creator><![CDATA[ulwvfje]]></dc:creator>
				<category><![CDATA[cancer]]></category>
		<category><![CDATA[maf]]></category>
		<category><![CDATA[oncotator]]></category>
		<category><![CDATA[vcf]]></category>
		<category><![CDATA[癌症]]></category>

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		<description><![CDATA[功能：vcf格式突变数据进一步注释成maf格式 做过癌症数据分析的童鞋都知道，T &#8230; <a href="http://www.bio-info-trainee.com/1287.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<div>功能：vcf格式突变数据进一步注释成maf格式</div>
<p>做过癌症数据分析的童鞋都知道，TCGA里面用maf格式来记录突变！那么maf格式的数据是如何得来的呢，我们都知道，做完snp-calling一般是得到vcf格式的突变记录数据文件，然后再用annovar或者其它蛋白结构功能影响预测软件注释一下，还远达不到maf的近100条记录。</p>
<div>而大名鼎鼎的broad institute就规定了maf格式的突变注释文件，他就是利用了十几个常见的已知数据库来注释我们得到的vcf突变记录，通常是对somatic的突变才注释成maf格式的数据！</div>
<div></div>
<div>
<div>大名鼎鼎的broadinstitute出品的突变注释工具：<a href="http://www.ncbi.nlm.nih.gov/pubmed/25703262">http://www.ncbi.nlm.nih.gov/pubmed/25703262</a></div>
<div>源码在github：<span class="Apple-converted-space"> </span><a href="https://github.com/broadinstitute/oncotator">https://github.com/broadinstitute/oncotator</a></div>
<div>软件官网是：<span class="Apple-converted-space"> </span><a href="https://www.broadinstitute.org/oncotator/">https://www.broadinstitute.org/oncotator/</a></div>
<div>说明书:<span class="Apple-converted-space"> </span><a href="http://gatkforums.broadinstitute.org/gatk/discussion/4154/howto-install-and-run-oncotator-for-the-first-time">http://gatkforums.broadinstitute.org/gatk/discussion/4154/howto-install-and-run-oncotator-for-the-first-time</a></div>
<div>需要提前自己下载14G的数据：<a href="http://www.broadinstitute.org/~lichtens/oncobeta/oncotator_v1_ds_Jan262015.tar.gz">http://www.broadinstitute.org/~lichtens/oncobeta/oncotator_v1_ds_Jan262015.tar.gz</a></div>
<div>软件可以在官网下载：<a href="https://github.com/broadinstitute/oncotator/archive/v1.8.0.0.tar.gz">https://github.com/broadinstitute/oncotator/archive/v1.8.0.0.tar.gz</a></div>
<div></div>
<div>本身也是一个在线工具：</div>
<div>input data数据指南：<a href="https://www.broadinstitute.org/oncotator/help/#inputformat">https://www.broadinstitute.org/oncotator/help/#inputformat</a></div>
<div>集成了下面所有的分析资源</div>
<div>而且还提供了API</div>
<div>
<h4>Genomic Annotations</h4>
<ul>
<li>Gene, transcript, and functional consequence annotations using <a href="http://www.gencodegenes.org/">GENCODE</a> for hg19.</li>
<li>Reference sequence around a variant.</li>
<li>GC content around a variant.</li>
<li>Human DNA Repair Gene annotations from <a href="http://sciencepark.mdanderson.org/labs/wood/DNA_Repair_Genes.html">Wood et al.</a></li>
</ul>
<h4>Protein Annotations</h4>
<ul>
<li>Site-specific protein annotations from <a href="http://www.uniprot.org/">UniProt</a>.</li>
<li>Functional impact predictions from <a href="https://sites.google.com/site/jpopgen/dbNSFP">dbNSFP</a>.</li>
</ul>
<h4>Cancer Variant Annotations</h4>
<ul>
<li>Observed cancer mutation frequency annotations from <a href="http://www.sanger.ac.uk/genetics/CGP/cosmic/">COSMIC</a>.</li>
<li>Cancer gene and mutation annotations from the <a href="http://www.sanger.ac.uk/genetics/CGP/Census/">Cancer GenCensus</a>.</li>
<li>Overlapping mutations from the <a href="http://www.broadinstitute.org/ccle/home">Cancer Cell Line Encyclopedia</a>.</li>
<li>Cancer gene annotations from the <a href="http://www.familialcancerdatabase.nl/">Familial Cancer Database</a>.</li>
<li>Cancer variant annotations from <a href="http://www.ncbi.nlm.nih.gov/clinvar/">ClinVar</a>.</li>
</ul>
<h4>Non-Cancer Variant Annotations</h4>
<ul>
<li>Common SNP annotations from <a href="http://www.ncbi.nlm.nih.gov/projects/SNP/">dbSNP</a>.</li>
<li>Variant annotations from <a href="http://www.1000genomes.org/data">1000 Genomes</a>.</li>
<li>Variant annotations from <a href="https://esp.gs.washington.edu/drupal/">NHLBI GO Exome Sequencing Project (ESP)</a>.</li>
</ul>
</div>
</div>
<div></div>
<div>因为要下载的数据有点多，我这里就不用自己的电脑测试了，安装过程也很简单的！</div>
<div></div>
<p>&nbsp;</p>
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