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	<title>生信菜鸟团 &#187; StringTie</title>
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		<title>hisat2+stringtie+ballgown</title>
		<link>http://www.bio-info-trainee.com/2073.html</link>
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		<pubDate>Fri, 25 Nov 2016 15:06:23 +0000</pubDate>
		<dc:creator><![CDATA[ulwvfje]]></dc:creator>
				<category><![CDATA[转录组软件]]></category>
		<category><![CDATA[ballgown]]></category>
		<category><![CDATA[hisat2]]></category>
		<category><![CDATA[StringTie]]></category>
		<category><![CDATA[转录组]]></category>

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		<description><![CDATA[早在去年九月，我就写个博文说 RNA-seq流程需要进化啦！ http://ww &#8230; <a href="http://www.bio-info-trainee.com/2073.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<p>早在去年九月，我就写个博文说 RNA-seq流程需要进化啦！<a href="http://www.bio-info-trainee.com/1022.html" target="_blank"> http://www.bio-info-trainee.com/1022.html </a> ，主要就是进化成hisat2+stringtie+ballgown的流程，但是我一直没有系统性的讲这个流程，因为我觉真心木有用。我只用了里面的hisat来做比对而已！但是群里的小伙伴问得特别多，我还是勉为其难的写一个教程吧，你们之间拷贝我的代码就可以安装这些软件的！然后自己找一个测试数据，我的脚本很容易用的！<span id="more-2073"></span></p>
<div>其实我最喜欢这样的文章了：<a href="http://www.nature.com/nprot/journal/v11/n9/full/nprot.2016.095.html">http://www.nature.com/nprot/journal/v11/n9/full/nprot.2016.095.html</a> 而且人家还提供了所有的代码，不知道大家怎么还会有疑问的<a href="http://www.nature.com/nprot/journal/v11/n9/extref/nprot.2016.095-S1.zip" target="_blank">：http://www.nature.com/nprot/journal/v11/n9/extref/nprot.2016.095-S1.zip</a></div>
<div>人家已经把流程说得清清楚楚了，我还是说一个自己的体悟吧：</div>
<div>软件安装如下：</div>
<blockquote>
<div>## Download and install HISAT</div>
<div># https://ccb.jhu.edu/software/hisat2/index.shtml</div>
<div>cd ~/biosoft</div>
<div>mkdir HISAT &amp;&amp; cd HISAT</div>
<div>#### readme: https://ccb.jhu.edu/software/hisat2/manual.shtml</div>
<div>wget ftp://ftp.ccb.jhu.edu/pub/infphilo/hisat2/downloads/hisat2-2.0.4-Linux_x86_64.zip</div>
<div>unzip hisat2-2.0.4-Linux_x86_64.zip</div>
<div>ln -s hisat2-2.0.4 current</div>
<div>## ~/biosoft/HISAT/current/hisat2-build</div>
<div>## ~/biosoft/HISAT/current/hisat2</div>
<div></div>
<div>## Download and install StringTie</div>
<div>## https://ccb.jhu.edu/software/stringtie/ ## https://ccb.jhu.edu/software/stringtie/index.shtml?t=manual</div>
<div>cd ~/biosoft</div>
<div>mkdir StringTie &amp;&amp; cd StringTie</div>
<div>wget http://ccb.jhu.edu/software/stringtie/dl/stringtie-1.2.3.Linux_x86_64.tar.gz</div>
<div>tar zxvf stringtie-1.2.3.Linux_x86_64.tar.gz</div>
<div>ln -s stringtie-1.2.3.Linux_x86_64 current</div>
<div># ~/biosoft/StringTie/current/stringtie</div>
</blockquote>
<div></div>
<div>软件使用，我比较喜欢用shell脚本，而且是简单的那种：</div>
<div>
<blockquote>
<div>while read id</div>
<div>do</div>
<div>sample=$(echo $id |cut -d" " -f 1 )</div>
<div>file1=$(echo $id |cut -d" " -f 2 )</div>
<div>file2=$(echo $id |cut -d" " -f 3 )</div>
<div>echo  $sample</div>
<div>echo $file1</div>
<div>echo $file2</div>
<div>~/biosoft/HISAT/current/hisat2  -p 4 --dta  -x  ~/reference/index/hisat/hg19/genome  -1 $file1 -2 $file2 -S $sample.hisat2.hg19.sam 2&gt;$sample.hisat2.hg19.log &amp;</div>
<div>done &lt;$1</div>
</blockquote>
<div>上面这个脚本需要一个3列的输入文件，分别是样本名，read1文件，read2文件，会产生以下的输出文件，sam文件。</div>
<div><img src="C:\Users\jimmy1314\AppData\Local\YNote\data\jmzeng1314@163.com\5262fabc557a4523a4694cb992a1a399\clipboard.png" alt="" data-media-type="image" data-attr-org-src-id="0A2D6DB986A14AC0A37C06273FEC3647" /><a href="http://www.bio-info-trainee.com/wp-content/uploads/2016/11/16.png"><img class="alignnone size-full wp-image-2074" src="http://www.bio-info-trainee.com/wp-content/uploads/2016/11/16.png" alt="1" width="298" height="63" /></a></div>
<blockquote>
<div>while read id</div>
<div>do</div>
<div>file=$(basename $id )</div>
<div>sample=${file%%.*}</div>
<div>echo $id $sample</div>
<div>nohup samtools sort -@ 4 -o ${sample}.sorted.bam $id &amp;</div>
<div>done &lt;$1</div>
</blockquote>
<div><span style="color: #ff0000;">最新版的samtools已经可以直接把sam文件变成排序好的bam文件啦~~~~</span></div>
<div><img src="C:\Users\jimmy1314\AppData\Local\YNote\data\jmzeng1314@163.com\adf062aca85f49d08d1d860f3a09443e\clipboard.png" alt="" data-media-type="image" data-attr-org-src-id="9E5C149652164763BB6DE37FE9DDCA67" /><img class="alignnone size-full wp-image-2075" src="http://www.bio-info-trainee.com/wp-content/uploads/2016/11/23.png" alt="2" width="266" height="65" /></div>
<blockquote>
<div>while read id</div>
<div>do</div>
<div>file=$(basename $id )</div>
<div>sample=${file%%.*}</div>
<div>echo $id $sample</div>
<div>nohup ~/biosoft/StringTie/current/stringtie  -p 4  -G ~/reference/gtf/gencode/gencode.v25lift37.annotation.gtf  -o $sample.hg19.stringtie.gtf -l $sample  $id  &amp;</div>
<div>done &lt;$1</div>
</blockquote>
<div>stringTie的用法就是这样咯。没什么好讲的</div>
<div><img class="alignnone size-full wp-image-2076" src="http://www.bio-info-trainee.com/wp-content/uploads/2016/11/31.png" alt="3" width="318" height="82" /></div>
<div><img src="C:\Users\jimmy1314\AppData\Local\YNote\data\jmzeng1314@163.com\c61ae9e9ad8a47c1a5f7886632cfa1fa\clipboard.png" alt="" data-media-type="image" data-attr-org-src-id="930C433F5E104A8FA07D0306E15026DD" /></div>
<div></div>
<div> ~/biosoft/StringTie/current/stringtie   --merge -p 8 -G ~/reference/gtf/gencode/gencode.v25lift37.annotation.gtf  -o stringtie_merged.gtf  mergelist.txt</div>
<div></div>
<div></div>
<div>while read id</div>
<div>do</div>
<div>file=$(basename $id )</div>
<div>sample=${file%%.*}</div>
<div>echo $id $sample</div>
<div>nohup ~/biosoft/StringTie/current/stringtie -e -B  -G  $2  -o ballgown/$sample/$sample.hg19.stringtie.gtf   $id  &amp;</div>
<div>done &lt;$1</div>
</div>
<div>我实在讲不下去了，因为真心不用这个东东，<strong><span style="color: #ff0000;">我都是拿到了sam/bam文件就直接去counts表达量矩阵了</span></strong>，而count reads数量是非常容易的事情，代码如下</div>
<div>nohup samtools view   A.sorted.bam.Nsort.bam |  ~/.local/bin/htseq-count -f sam  -s no -i gene_name  -   ~/reference/gtf/gencode/gencode.v25lift37.annotation.gtf    1&gt;A.geneCounts 2&gt;A.HTseq.log &amp;</div>
<div>下面的这些文件，导入到R里面用ballgown处理吧，不要在问我这个问题了。</div>
<div><img class="alignnone size-full wp-image-2077" src="http://www.bio-info-trainee.com/wp-content/uploads/2016/11/4.png" alt="4" width="608" height="548" /></div>
<div></div>
<div></div>
<div></div>
<div></div>
<div></div>
]]></content:encoded>
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		<item>
		<title>自学lncRNA-seq数据分析第一讲~学习大纲</title>
		<link>http://www.bio-info-trainee.com/1784.html</link>
		<comments>http://www.bio-info-trainee.com/1784.html#comments</comments>
		<pubDate>Fri, 08 Jul 2016 12:37:33 +0000</pubDate>
		<dc:creator><![CDATA[ulwvfje]]></dc:creator>
				<category><![CDATA[tutorial]]></category>
		<category><![CDATA[ballgown]]></category>
		<category><![CDATA[hisat]]></category>
		<category><![CDATA[StringTie]]></category>

		<guid isPermaLink="false">http://www.bio-info-trainee.com/?p=1784</guid>
		<description><![CDATA[lncRNA分析跟常见的mRNA-seq分析重合度很高，无非也是把测序的fast &#8230; <a href="http://www.bio-info-trainee.com/1784.html">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<div>lncRNA分析跟常见的mRNA-seq分析重合度很高，无非也是把测序的fastq文件mapping到参加基因组，获取转录本信息，转录本表达定量，表达量的差异分析，比较新的分析就是把转录本分成了lncRNA和mRNA，这样可以考虑它们之间的互相作用，也可以在实验设计的时候加入miRNA和CHIP-seq，这样多种数据结合分析，显得更高大上一点，也能更好的刻画机体状态，从而回答生物学假设，我这里先列出我的自学大纲，<span style="color: #ff0000;"><strong>如果有朋友想跟着我学习</strong></span>，可以发email给我，<span style="color: #ff0000;">我的邮箱是jmzeng1314，是163邮箱</span>，发信给我前，先看<a title="详细阅读 如果你希望我回答你的问题" href="http://www.bio-info-trainee.com/1761.html" rel="bookmark">如果你希望我回答你的问题</a> 这篇文章：</div>
<p><span id="more-1784"></span></p>
<div>step1:read paper and get the workflow for lncRNA anlaysis</div>
<div>## <a href="http://www.sciencedirect.com/science/article/pii/S1934590913000982">http://www.sciencedirect.com/science/article/pii/S1934590913000982</a></div>
<div>## Integration of Genome-wide Approaches Identifies lncRNAs of Adult Neural Stem Cells and Their Progeny In Vivo</div>
<div>
<div><span style="color: #ff0000;">step2:download the raw data from NCBI-GEO-SRA database</span></div>
<div>## <a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45282">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45282</a></div>
<div>
<div><span style="color: #ff0000;">step3:quality control for the sequence data  </span></div>
<div>## paper:2012- analysis of RNA-seq experiments with TopHat and Cufflinks : <a href="http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html">http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html</a></div>
<div></div>
<div><strong><span style="color: #ff0000;">## 作者用的是tophat2+cufflinks+CummeRbund 我这里替换成HISAT+StringTie+ballgown</span></strong></div>
<div>
<div><strong><span style="color: #ff0000;">step4:mapping the reads to reference genome/transcriptome </span></strong></div>
<div></div>
<div><span style="color: #ff0000;">step5: de nove identification lncRNA</span></div>
<div>paper:Genome-wide computational identification and manual annotation  of human long noncoding RNA genes :<a href="http://rnajournal.cshlp.org/content/16/8/1478.short">http://rnajournal.cshlp.org/content/16/8/1478.short</a></div>
<div>paper:A complete annotation of CaptureSeq-derived transcripts is available at <a href="http://neurosurgery.ucsf.edu/danlimlab/lncRNA.">http://neurosurgery.ucsf.edu/danlimlab/lncRNA.</a></div>
<div></div>
<div></div>
<div><span style="color: #ff0000;">step6:counts the expression lever for each LncRNA</span></div>
<div></div>
<div><span style="color: #ff0000;">step7:find the differentially expressed  LncRNA  </span></div>
<div></div>
<div><span style="color: #ff0000;">step8: function anlaysis for the lncRNA </span></div>
<div>paper:2016-Discovery and functional analysis of lncRNAs:  <a href="http://www.sciencedirect.com/science/article/pii/S1874939915002163">http://www.sciencedirect.com/science/article/pii/S1874939915002163</a></div>
<div>paper:2014-Genome-wide screening and functional analysis identify a large number of long noncoding RNAs involved in the sexual reproduction of rice:  <a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0512-1">https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0512-1</a></div>
<div>Introduction: sequence--&gt;expression--&gt;function: <a href="http://www.exiqon.com/lncrna">http://www.exiqon.com/lncrna</a></div>
<div>paper:2014-lncRNAtor-a comprehensive resource for functional investigation of long noncoding RNAs:<a href="http://lncrnator.ewha.ac.kr/index.htm">http://lncrnator.ewha.ac.kr/index.htm</a></div>
<div>paper:2014-Genome-Wide Analysis of Long Noncoding RNA (lncRNA) Expression in Hepatoblastoma Tissues : <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085599">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085599</a></div>
<div>paper:2015- Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network: <a href="http://www.hindawi.com/journals/bmri/2015/839590/">http://www.hindawi.com/journals/bmri/2015/839590/</a></div>
<div>paper:2016-Long Non-coding RNA in Neurons: New Players in Early Response to BDNF Stimulation : <a href="http://journal.frontiersin.org/article/10.3389/fnmol.2016.00015/full">http://journal.frontiersin.org/article/10.3389/fnmol.2016.00015/full</a></div>
<div>Figure 7: GO analysis of the biological function of lncRNA: <a href="http://www.nature.com/articles/srep21499/figures/7">http://www.nature.com/articles/srep21499/figures/7</a></div>
<div>Figure 2. GO enrichment analysis of lncRNA targets. GO annotations of lncRNA targets categorized by (A) biological process, (B) cell component and (C) molecular function. :<a href="https://www.spandidos-publications.com/or/31/4/1613">https://www.spandidos-publications.com/or/31/4/1613</a>  ## <a href="http://www.oatext.com/Genome-wide-analysis-of-differentially-expressed-long-noncoding-RNAs-induced-by-low-shear-stress-in-human-umbilical-vein-endothelial-cells.php">http://www.oatext.com/Genome-wide-analysis-of-differentially-expressed-long-noncoding-RNAs-induced-by-low-shear-stress-in-human-umbilical-vein-endothelial-cells.php</a></div>
<div>Figure 3. Functional classification of lncRNA  : <a href="https://www.spandidos-publications.com/ijo/45/2/619">https://www.spandidos-publications.com/ijo/45/2/619</a></div>
<div>paper:2016-Expression profiles of long-noncoding RNAs in cutaneous squamous cell carcinoma. : <a href="http://www.futuremedicine.com/doi/abs/10.2217/epi-2015-0012">http://www.futuremedicine.com/doi/abs/10.2217/epi-2015-0012</a></div>
<div></div>
<div><span style="color: #ff0000;">step9:lncRNA-mRNA co-expression network  </span></div>
<div></div>
<div>paper:2015-biomarkers-OV-Comprehensive analysis of lncRNA-mRNA co-expression patterns: <a href="http://www.nature.com/articles/srep17683">http://www.nature.com/articles/srep17683</a></div>
<div>paper:2016-Differential lncRNA-mRNA co-expression network analysis : <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732855/">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732855/</a></div>
<div>paper:2014-Microarray Profiling and Co-Expression Network Analysis of Circulating lncRNAs and mRNAs :<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0093388">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0093388</a></div>
<div>paper:2014-Long Noncoding RNA-EBIC Promotes Tumor Cell Invasion by Binding to EZH2 and Repressing E-Cadherin in Cervical Cancer : <a href="https://figshare.com/articles/_lncRNA_mRNA_co_expression_network_/1098837">https://figshare.com/articles/_lncRNA_mRNA_co_expression_network_/1098837</a></div>
<div>paper:2016-Microarray Analysis of lncRNA and mRNA Expression Profiles in Patients with Neuromyelitis Optica : <a href="http://link.springer.com/article/10.1007/s12035-016-9754-0">http://link.springer.com/article/10.1007/s12035-016-9754-0</a></div>
<div>paper:2015-LncRNA expression profiles reveal the co-expression network in human colorectal carcinoma  : <a href="http://www.ijcep.com/files/ijcep0017983.pdf">http://www.ijcep.com/files/ijcep0017983.pdf</a></div>
<div></div>
<div></div>
<div></div>
<div></div>
<div><span style="color: #ff0000;">step10: analysis of lncRNA-miRNA interactions</span></div>
<div></div>
<div>paper:2014-starBase-decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data : <a href="http://nar.oxfordjournals.org/content/early/2013/11/30/nar.gkt1248.short">http://nar.oxfordjournals.org/content/early/2013/11/30/nar.gkt1248.short</a></div>
<div>paper:2014-An Integrated Analysis of miRNA, lncRNA, and mRNA Expression Profiles : <a href="http://www.hindawi.com/journals/bmri/2014/345605/abs/">http://www.hindawi.com/journals/bmri/2014/345605/abs/</a></div>
<div>paper:2013-Systematic transcriptome wide analysis of lncRNA-miRNA interactions  : <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0053823">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0053823</a></div>
<div>Figure: Regulatory cancer network of lncRNA-miRNA interactions. : <a href="http://www.aimspress.com/article/10.3934/molsci.2016.2.104/fulltext.html">http://www.aimspress.com/article/10.3934/molsci.2016.2.104/fulltext.html</a></div>
<div>paper:2014-Functional interactions among microRNAs and long noncoding RNAs :<a href="http://www.sciencedirect.com/science/article/pii/S1084952114001700">http://www.sciencedirect.com/science/article/pii/S1084952114001700</a></div>
<div>paper:2014-NPInter v2.0-an updated database of ncRNA interactions: <a href="http://nar.oxfordjournals.org/content/42/D1/D104.short">http://nar.oxfordjournals.org/content/42/D1/D104.short</a></div>
<div>paper:2013-Long Noncoding RNAs-Related Diseases, Cancers, and Drugs: <a href="http://www.hindawi.com/journals/tswj/2013/943539/abs/">http://www.hindawi.com/journals/tswj/2013/943539/abs/</a></div>
<div></div>
<div><span style="color: #ff0000;">step11:  Histone Modifications and lncRNA Expression</span></div>
<div>paper:2013-Panning for Long Noncoding RNAs : <a href="http://www.mdpi.com/2218-273X/3/1/226/htm">http://www.mdpi.com/2218-273X/3/1/226/htm</a></div>
<div></div>
<div></div>
<div>2015-Analysis of long non-coding RNAs highlights tissue-specific expression patterns and epigenetic profiles in normal and psoriatic skin : <a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0570-4">https://genomebiology.biomedcentral.com/articles/10.1186/s13059-014-0570-4</a></div>
<div>2013-Predicting long non-coding RNAs using RNA sequencing : <a href="http://www.ncbi.nlm.nih.gov/pubmed/23541739">http://www.ncbi.nlm.nih.gov/pubmed/23541739</a></div>
<div>2014-Identification of prostate cancer LncRNAs by RNA-Seq ： <a href="http://www.ncbi.nlm.nih.gov/pubmed/25422238">http://www.ncbi.nlm.nih.gov/pubmed/25422238</a></div>
<div>book: Identification of Disease-Related Genes by NGS: <a href="http://www.diss.fu-berlin.de/diss/servlets/MCRFileNodeServlet/FUDISS_derivate_000000015470/Dorn_Cornelia.diss2.pdf">http://www.diss.fu-berlin.de/diss/servlets/MCRFileNodeServlet/FUDISS_derivate_000000015470/Dorn_Cornelia.diss2.pdf</a></div>
<div>book: yeast function genomic : <a href="http://download.springer.com/static/pdf/150/bok%253A978-1-4939-3079-1.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-1-4939-3079-1&amp;token2=exp=1467776101">http://download.springer.com/static/pdf/150/bok%253A978-1-4939-3079-1.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-1-4939-3079-1&amp;token2=exp=1467776101</a>~acl=%2Fstatic%2Fpdf%2F150%2Fbok%25253A978-1-4939-3079-1.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fbook%252F10.1007%252F978-1-4939-3079-1*~hmac=4aaa3f402c498fffa9c609d6ab14c14c0eba3b7862a526ecfddf30c0cf7fb81f</div>
<div>RNA-seq workflow tophat+cufflinks+R: <a href="https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/1100005/20130522GACDRNASeqandMethylation.pdf">https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/1100005/20130522GACDRNASeqandMethylation.pdf</a></div>
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<div><span style="color: #ff0000;">mRNA and ncRNA (miRNA, lncRNA, snoRNA, etc) </span></div>
<div>Quantitative gene profiling of long noncoding RNAs with targeted RNA sequencing  : <a href="http://www.nature.com/nmeth/journal/v12/n4/full/nmeth.3321.html">http://www.nature.com/nmeth/journal/v12/n4/full/nmeth.3321.html</a></div>
<div>Targeted RNA sequencing reveals the deep complexity of the human transcriptome    <a href="http://cole-trapnell-lab.github.io/pdfs/papers/mercer-capture-seq.pdf">http://cole-trapnell-lab.github.io/pdfs/papers/mercer-capture-seq.pdf</a></div>
<div>Targeted sequencing for gene discovery and quantification using RNA CaptureSeq <a href="http://www.ncbi.nlm.nih.gov/pubmed/24705597">http://www.ncbi.nlm.nih.gov/pubmed/24705597</a></div>
<div>2011年 RNA CaptureSeq技术出现 ： <a href="http://www.ebiotrade.com/newsf/2011-11/20111117145845614.htm">http://www.ebiotrade.com/newsf/2011-11/20111117145845614.htm</a></div>
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