<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>CLIP-Seq on Maragkakis Lab</title><link>http://maragkakislab.com/tags/clip-seq/</link><description>Recent content in CLIP-Seq on Maragkakis Lab</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2018 00:00:00 +0000</lastBuildDate><atom:link href="http://maragkakislab.com/tags/clip-seq/index.xml" rel="self" type="application/rss+xml"/><item><title>cCLIP-Seq: Retrieval of Chimeric Reads from HITS-CLIP (CLIP-Seq) Libraries</title><link>http://maragkakislab.com/publications/2018-cclip-seq/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2018-cclip-seq/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;This methods chapter describes cCLIP-seq, a computational approach for identifying and retrieving chimeric reads from HITS-CLIP libraries, where a small RNA and its target RNA are co-ligated and sequenced as a single molecule. By resolving these chimeric tags, cCLIP-seq enables direct identification of small RNA binding sites and precise base-pairing profiles at single-nucleotide resolution.&lt;/p&gt;</description></item><item><title>CLIPSeqTools — a novel bioinformatics CLIP-seq analysis suite</title><link>http://maragkakislab.com/publications/2016-clipseqtools/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2016-clipseqtools/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;CLIPSeqTools is a modular bioinformatics pipeline for the analysis of CLIP-seq data, providing tools for read processing, peak calling, motif analysis, and visualization. The suite enables comprehensive characterization of RNA-binding protein interaction sites across the transcriptome.&lt;/p&gt;</description></item><item><title>FUS regulates genes coding for RNA-binding proteins in neurons by binding to their highly conserved introns</title><link>http://maragkakislab.com/publications/2013-fus-rna-binding-neurons/</link><pubDate>Mon, 01 Apr 2013 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2013-fus-rna-binding-neurons/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;CLIP-seq analysis reveals that FUS, an ALS-associated RNA-binding protein, preferentially binds to highly conserved intronic sequences of genes encoding other RNA-binding proteins in neurons. This autoregulatory network suggests a mechanism by which FUS dysfunction could broadly disrupt neuronal RNA metabolism.&lt;/p&gt;</description></item><item><title>Identification of in vivo, conserved, TAF15 RNA binding sites reveals the impact of TAF15 on the neuronal transcriptome</title><link>http://maragkakislab.com/publications/2013-taf15-neuronal-transcriptome/</link><pubDate>Thu, 21 Feb 2013 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2013-taf15-neuronal-transcriptome/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;Using CLIP-seq, this study identifies the in vivo binding sites of TAF15, an ALS-associated RNA-binding protein, across the neuronal transcriptome. The findings reveal evolutionarily conserved binding sites and provide insight into the role of TAF15 in neuronal RNA metabolism.&lt;/p&gt;</description></item></channel></rss>