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	<title>生信菜鸟团 &#187; 备忘录</title>
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		<title>备忘录- Universal Human Reference RNA sample (HUR)-样本列表</title>
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		<pubDate>Thu, 12 Jan 2017 02:52:41 +0000</pubDate>
		<dc:creator><![CDATA[ulwvfje]]></dc:creator>
				<category><![CDATA[备忘录]]></category>
		<category><![CDATA[HUR]]></category>
		<category><![CDATA[roadmap]]></category>

		<guid isPermaLink="false">http://www.bio-info-trainee.com/?p=2273</guid>
		<description><![CDATA[大家不要点击，我把这个博客当做笔记本的，这个知识点对你们几乎木有用的！ Univ &#8230; <a href="http://www.bio-info-trainee.com/2273.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<p>大家不要点击，我把这个博客当做笔记本的，这个知识点对你们几乎木有用的！</p>
<p>Universal Human Reference RNA 似乎是agilent公司的，包含了10个不同的人类细胞系！roadmap对这些样本测了RNA-seq，我以后课题可能会用得着。</p>
<p>列表如下：<span id="more-2273"></span></p>
<pre>E000	Universal_Human_Reference
E003	H1_Cell_Line
E004	H1_BMP4_Derived_Mesendoderm_Cultured_Cells
E005	H1_BMP4_Derived_Trophoblast_Cultured_Cells
E006	H1_Derived_Mesenchymal_Stem_Cells
E007	H1_Derived_Neuronal_Progenitor_Cultured_Cells
E011	hESC_Derived_CD184+_Endoderm_Cultured_Cells
E012	hESC_Derived_CD56+_Ectoderm_Cultured_Cells
E013	hESC_Derived_CD56+_Mesoderm_Cultured_Cells
E016	HUES64_Cell_Line
E024	4star
E027	Breast_Myoepithelial_Cells
E028	Breast_vHMEC
E037	CD4_Memory_Primary_Cells
E038	CD4_Naive_Primary_Cells
E047	CD8_Naive_Primary_Cells
E050	Mobilized_CD34_Primary_Cells_Female
E053	Neurosphere_Cultured_Cells_Cortex_Derived
E054	Neurosphere_Cultured_Cells_Ganglionic_Eminence_Derived
E055	Penis_Foreskin_Fibroblast_Primary_Cells_skin01
E056	Penis_Foreskin_Fibroblast_Primary_Cells_skin02
E057	Penis_Foreskin_Keratinocyte_Primary_Cells_skin02
E058	Penis_Foreskin_Keratinocyte_Primary_Cells_skin03
E059	Penis_Foreskin_Melanocyte_Primary_Cells_skin01
E061	Penis_Foreskin_Melanocyte_Primary_Cells_skin03
E062	Peripheral_Blood_Mononuclear_Primary_Cells
E065	Aorta
E066	Adult_Liver
E070	Brain_Germinal_Matrix
E071	Brain_Hippocampus_Middle
E079	Esophagus
E082	Fetal_Brain_Female
E084	Fetal_Intestine_Large
E085	Fetal_Intestine_Small
E087	Pancreatic_Islets
E094	Gastric
E095	Left_Ventricle
E096	Lung
E097	Ovary
E098	Pancreas
E100	Psoas_Muscle
E104	Right_Atrium
E105	Right_Ventricle
E106	Sigmoid_Colon
E109	Small_Intestine
E112	Thymus
E113	Spleen
E114	A549
E116	GM12878
E117	HELA
E118	HEPG2
E119	HMEC
E120	HSMM
E122	HUVEC
E123	K562
E127	NHEK
E128	NHLF
</pre>
<p>来自于：http://egg2.wustl.edu/roadmap/web_portal/processed_data.html#ChipSeq_DNaseSeq</p>
<p><span style="text-decoration: underline;"><strong>Expression quantification</strong></span></p>
<p>Data format: Tab-delimited matrix</p>
<ul>
<li><strong>Download URL:</strong><br />
<a href="http://egg2.wustl.edu/roadmap/data/byDataType/rna/expression/" target="_blank">http://egg2.wustl.edu/roadmap/data/byDataType/rna/expression/</a></li>
<li><strong>EG.name.txt:</strong>is the header file containing order and names of epigenomes (columns) in the expression matrices listed below. The EG names and the RNA seq quantification include an E000 sample representing a Universal Human Reference RNA sample (HUR). Agilent's Universal Human Reference RNA is composed of total RNA from 10 human cell lines. The reference RNA is designed to be used as a reference for expression profiling experiments. Since RNA species differ in abundance between cell lines, an ideal reference sample should represent these different RNAs. Equal quantities of DNase-treated total RNA from each cell line were pooled to make the Universal Human Reference RNA. Stratagene also supplies a QPCR Human Reference Total RNA, suitable for QRT-PCR, which has undergone further DNase treatment. Further details are available at<br />
<a href="http://www.genomics.agilent.com/article.jsp?pageId=1452&amp;_requestid=2183245" target="_blank">http://www.genomics.agilent.com/article.jsp?pageId=1452&amp;_requestid=2183245 </a>and<br />
<a href="http://www.chem.agilent.com/library/usermanuals/public/740000.pdf" target="_blank">http://www.chem.agilent.com/library/usermanuals/public/740000.pdf</a></li>
<li><strong>Ensembl_v65.Gencode_v10.ENSG.gene_info: </strong>details and annotations for the ENSEMBL ids in the expression matrices</li>
<li><strong>57epigenomes.RPKM.pc: </strong>RPKM expression matrix for protein coding genes</li>
<li><strong>57epigenomes.N.pc: </strong>RNA-seq read counts matrix for protein coding genes</li>
<li><strong>57epigenomes.RPKM.nc: </strong>RPKM expression matrix for non-coding RNAs</li>
<li><strong>57epigenomes.N.nc: </strong>RNA-seq read counts matrix for non-coding RNAs</li>
<li><strong>57epigenomes.exon.RPKM.pc: </strong>RPKM expression matrix for protein coding exons</li>
<li><strong>57epigenomes.exon.N.pc: </strong>RNA-seq read counts matrix for protein coding exons</li>
<li><strong>57epigenomes.RPKM.intronic.pc: </strong>RNA-seq read count matrix for intronic protein-coding RNA elements</li>
<li><strong>57epigenomes.N.intronic.pc: </strong>RNA-seq read count matrix for intronic protein-coding RNA elements</li>
<li><strong>57epigenomes.N.rb: </strong>RNA-seq read counts matrix for ribosomal genes</li>
<li><strong>57epigenomes.RPKM.rb: </strong>RPKM expression matrix for ribosomal RNAs</li>
<li><strong>57epigenomes.exn.RPKM.rb: </strong>RPKM expression matrix for ribosomal gene exons</li>
<li><strong>57epigenomes.exn.N.rb: </strong>RNA-seq read counts matrix for ribosomal gene exons</li>
</ul>
<p>&nbsp;</p>
<p><span style="text-decoration: underline;"><strong>RNA-seq signal tracks</strong></span></p>
<p>Data format: BIGWIG</p>
<ul>
<li>Normalized coverage (stranded libraries have two tracks per library for + and - strand with - strand track having negative values):<br />
<a href="http://egg2.wustl.edu/roadmap/data/byDataType/rna/signal/normalized_bigwig/stranded/" target="_blank">http://egg2.wustl.edu/roadmap/data/byDataType/rna/signal/normalized_bigwig/stranded/</a></li>
</ul>
<p>&nbsp;</p>
<p>&nbsp;</p>
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