Literature DB >> 23929032

ASPeak: an abundance sensitive peak detection algorithm for RIP-Seq.

Alper Kucukural1, Hakan Özadam, Guramrit Singh, Melissa J Moore, Can Cenik.   

Abstract

SUMMARY: Unlike DNA, RNA abundances can vary over several orders of magnitude. Thus, identification of RNA-protein binding sites from high-throughput sequencing data presents unique challenges. Although peak identification in ChIP-Seq data has been extensively explored, there are few bioinformatics tools tailored for peak calling on analogous datasets for RNA-binding proteins. Here we describe ASPeak (abundance sensitive peak detection algorithm), an implementation of an algorithm that we previously applied to detect peaks in exon junction complex RNA immunoprecipitation in tandem experiments. Our peak detection algorithm yields stringent and robust target sets enabling sensitive motif finding and downstream functional analyses. AVAILABILITY: ASPeak is implemented in Perl as a complete pipeline that takes bedGraph files as input. ASPeak implementation is freely available at https://sourceforge.net/projects/as-peak under the GNU General Public License. ASPeak can be run on a personal computer, yet is designed to be easily parallelizable. ASPeak can also run on high performance computing clusters providing efficient speedup. The documentation and user manual can be obtained from http://master.dl.sourceforge.net/project/as-peak/manual.pdf.

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Year:  2013        PMID: 23929032      PMCID: PMC3777114          DOI: 10.1093/bioinformatics/btt428

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Identification of novel transcripts in annotated genomes using RNA-Seq.

Authors:  Adam Roberts; Harold Pimentel; Cole Trapnell; Lior Pachter
Journal:  Bioinformatics       Date:  2011-06-21       Impact factor: 6.937

2.  A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins.

Authors:  Shivendra Kishore; Lukasz Jaskiewicz; Lukas Burger; Jean Hausser; Mohsen Khorshid; Mihaela Zavolan
Journal:  Nat Methods       Date:  2011-05-15       Impact factor: 28.547

3.  Site identification in high-throughput RNA-protein interaction data.

Authors:  Philip J Uren; Emad Bahrami-Samani; Suzanne C Burns; Mei Qiao; Fedor V Karginov; Emily Hodges; Gregory J Hannon; Jeremy R Sanford; Luiz O F Penalva; Andrew D Smith
Journal:  Bioinformatics       Date:  2012-09-28       Impact factor: 6.937

4.  CLIP-seq of eIF4AIII reveals transcriptome-wide mapping of the human exon junction complex.

Authors:  Jérôme Saulière; Valentine Murigneux; Zhen Wang; Emélie Marquenet; Isabelle Barbosa; Olivier Le Tonquèze; Yann Audic; Luc Paillard; Hugues Roest Crollius; Hervé Le Hir
Journal:  Nat Struct Mol Biol       Date:  2012-10-21       Impact factor: 15.369

Review 5.  Protein-RNA interactions: new genomic technologies and perspectives.

Authors:  Julian König; Kathi Zarnack; Nicholas M Luscombe; Jernej Ule
Journal:  Nat Rev Genet       Date:  2012-01-18       Impact factor: 53.242

6.  ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions.

Authors:  Naim U Rashid; Paul G Giresi; Joseph G Ibrahim; Wei Sun; Jason D Lieb
Journal:  Genome Biol       Date:  2011-07-25       Impact factor: 13.583

7.  The cellular EJC interactome reveals higher-order mRNP structure and an EJC-SR protein nexus.

Authors:  Guramrit Singh; Alper Kucukural; Can Cenik; John D Leszyk; Scott A Shaffer; Zhiping Weng; Melissa J Moore
Journal:  Cell       Date:  2012-10-18       Impact factor: 41.582

8.  RIPSeeker: a statistical package for identifying protein-associated transcripts from RIP-seq experiments.

Authors:  Yue Li; Dorothy Yanling Zhao; Jack F Greenblatt; Zhaolei Zhang
Journal:  Nucleic Acids Res       Date:  2013-02-28       Impact factor: 16.971

9.  An integrated software system for analyzing ChIP-chip and ChIP-seq data.

Authors:  Hongkai Ji; Hui Jiang; Wenxiu Ma; David S Johnson; Richard M Myers; Wing H Wong
Journal:  Nat Biotechnol       Date:  2008-11-02       Impact factor: 54.908

10.  Model-based analysis of ChIP-Seq (MACS).

Authors:  Yong Zhang; Tao Liu; Clifford A Meyer; Jérôme Eeckhoute; David S Johnson; Bradley E Bernstein; Chad Nusbaum; Richard M Myers; Myles Brown; Wei Li; X Shirley Liu
Journal:  Genome Biol       Date:  2008-09-17       Impact factor: 13.583

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  23 in total

1.  The key protein of endosomal mRNP transport Rrm4 binds translational landmark sites of cargo mRNAs.

Authors:  Lilli Olgeiser; Carl Haag; Susan Boerner; Jernej Ule; Anke Busch; Janine Koepke; Julian König; Michael Feldbrügge; Kathi Zarnack
Journal:  EMBO Rep       Date:  2018-12-14       Impact factor: 8.807

Review 2.  When one becomes many-Alternative splicing in β-cell function and failure.

Authors:  Maria Inês Alvelos; Jonàs Juan-Mateu; Maikel Luis Colli; Jean-Valéry Turatsinze; Décio L Eizirik
Journal:  Diabetes Obes Metab       Date:  2018-09       Impact factor: 6.577

Review 3.  Bioinformatic tools for analysis of CLIP ribonucleoprotein data.

Authors:  Supriyo De; Myriam Gorospe
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-12-23       Impact factor: 9.957

4.  DO-RIP-seq to quantify RNA binding sites transcriptome-wide.

Authors:  Cindo O Nicholson; Matthew B Friedersdorf; Laura S Bisogno; Jack D Keene
Journal:  Methods       Date:  2016-11-10       Impact factor: 3.608

Review 5.  Practical considerations on performing and analyzing CLIP-seq experiments to identify transcriptomic-wide RNA-protein interactions.

Authors:  Xiaoli Chen; Sarah A Castro; Qiuying Liu; Wenqian Hu; Shaojie Zhang
Journal:  Methods       Date:  2018-12-06       Impact factor: 3.608

Review 6.  Computational challenges, tools, and resources for analyzing co- and post-transcriptional events in high throughput.

Authors:  Emad Bahrami-Samani; Dat T Vo; Patricia Rosa de Araujo; Christine Vogel; Andrew D Smith; Luiz O F Penalva; Philip J Uren
Journal:  Wiley Interdiscip Rev RNA       Date:  2014-12-16       Impact factor: 9.957

7.  RIPiT-Seq: a high-throughput approach for footprinting RNA:protein complexes.

Authors:  Guramrit Singh; Emiliano P Ricci; Melissa J Moore
Journal:  Methods       Date:  2013-10-02       Impact factor: 3.608

8.  Mapping transcriptome-wide protein-RNA interactions to elucidate RNA regulatory programs.

Authors:  Molly M Hannigan; Leah L Zagore; Donny D Licatalosi
Journal:  Quant Biol       Date:  2018-07-27

9.  RIPiT-Seq: A tandem immunoprecipitation approach to reveal global binding landscape of multisubunit ribonucleoproteins.

Authors:  Zhongxia Yi; Guramrit Singh
Journal:  Methods Enzymol       Date:  2021-05-18       Impact factor: 1.600

10.  Staufen1 senses overall transcript secondary structure to regulate translation.

Authors:  Emiliano P Ricci; Alper Kucukural; Can Cenik; Blandine C Mercier; Guramrit Singh; Erin E Heyer; Ami Ashar-Patel; Lingtao Peng; Melissa J Moore
Journal:  Nat Struct Mol Biol       Date:  2013-12-15       Impact factor: 15.369

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