Literature DB >> 22829625

Nebula--a web-server for advanced ChIP-seq data analysis.

Valentina Boeva1, Alban Lermine, Camille Barette, Christel Guillouf, Emmanuel Barillot.   

Abstract

MOTIVATION: ChIP-seq consists of chromatin immunoprecipitation and deep sequencing of the extracted DNA fragments. It is the technique of choice for accurate characterization of the binding sites of transcription factors and other DNA-associated proteins. We present a web service, Nebula, which allows inexperienced users to perform a complete bioinformatics analysis of ChIP-seq data.
RESULTS: Nebula was designed for both bioinformaticians and biologists. It is based on the Galaxy open source framework. Galaxy already includes a large number of functionalities for mapping reads and peak calling. We added the following to Galaxy: (i) peak calling with FindPeaks and a module for immunoprecipitation quality control, (ii) de novo motif discovery with ChIPMunk, (iii) calculation of the density and the cumulative distribution of peak locations relative to gene transcription start sites, (iv) annotation of peaks with genomic features and (v) annotation of genes with peak information. Nebula generates the graphs and the enrichment statistics at each step of the process. During Steps 3-5, Nebula optionally repeats the analysis on a control dataset and compares these results with those from the main dataset. Nebula can also incorporate gene expression (or gene modulation) data during these steps. In summary, Nebula is an innovative web service that provides an advanced ChIP-seq analysis pipeline providing ready-to-publish results. AVAILABILITY: Nebula is available at http://nebula.curie.fr/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Year:  2012        PMID: 22829625     DOI: 10.1093/bioinformatics/bts463

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


  20 in total

1.  Facilitating Analysis of Publicly Available ChIP-Seq Data for Integrative Studies.

Authors:  Avantika R Diwadkar; Mengyuan Kan; Blanca E Himes
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

2.  The receptor NLRP3 is a transcriptional regulator of TH2 differentiation.

Authors:  Mélanie Bruchard; Cédric Rebé; Valentin Derangère; Dieudonnée Togbé; Bernhard Ryffel; Romain Boidot; Etienne Humblin; Arlette Hamman; Fanny Chalmin; Hélène Berger; Angélique Chevriaux; Emeric Limagne; Lionel Apetoh; Frédérique Végran; François Ghiringhelli
Journal:  Nat Immunol       Date:  2015-06-22       Impact factor: 25.606

3.  Chimeric EWSR1-FLI1 regulates the Ewing sarcoma susceptibility gene EGR2 via a GGAA microsatellite.

Authors:  Thomas G P Grünewald; Virginie Bernard; Pascale Gilardi-Hebenstreit; Virginie Raynal; Didier Surdez; Marie-Ming Aynaud; Olivier Mirabeau; Florencia Cidre-Aranaz; Franck Tirode; Sakina Zaidi; Gaëlle Perot; Anneliene H Jonker; Carlo Lucchesi; Marie-Cécile Le Deley; Odile Oberlin; Perrine Marec-Bérard; Amélie S Véron; Stephanie Reynaud; Eve Lapouble; Valentina Boeva; Thomas Rio Frio; Javier Alonso; Smita Bhatia; Gaëlle Pierron; Geraldine Cancel-Tassin; Olivier Cussenot; David G Cox; Lindsay M Morton; Mitchell J Machiela; Stephen J Chanock; Patrick Charnay; Olivier Delattre
Journal:  Nat Genet       Date:  2015-07-27       Impact factor: 38.330

4.  An Optimized ChIP-Seq Protocol to Determine Chromatin Binding of Estrogen Receptor Beta.

Authors:  Rajitha Indukuri; Anastasios Damdimopoulos; Cecilia Williams
Journal:  Methods Mol Biol       Date:  2022

5.  INsPeCT: INtegrative Platform for Cancer Transcriptomics.

Authors:  Piyush B Madhamshettiwar; Stefan R Maetschke; Melissa J Davis; Antonio Reverter; Mark A Ragan
Journal:  Cancer Inform       Date:  2014-03-12

6.  HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data.

Authors:  Haitham Ashoor; Aurélie Hérault; Aurélie Kamoun; François Radvanyi; Vladimir B Bajic; Emmanuel Barillot; Valentina Boeva
Journal:  Bioinformatics       Date:  2013-09-09       Impact factor: 6.937

7.  Genome-wide Twist1 occupancy in endocardial cushion cells, embryonic limb buds, and peripheral nerve sheath tumor cells.

Authors:  Mary P Lee; Nancy Ratner; Katherine E Yutzey
Journal:  BMC Genomics       Date:  2014-09-28       Impact factor: 3.969

8.  Genome-wide analysis of LXRα activation reveals new transcriptional networks in human atherosclerotic foam cells.

Authors:  Radmila Feldmann; Cornelius Fischer; Vitam Kodelja; Sarah Behrens; Stefan Haas; Martin Vingron; Bernd Timmermann; Anne Geikowski; Sascha Sauer
Journal:  Nucleic Acids Res       Date:  2013-02-07       Impact factor: 16.971

9.  The ChIP-seq-defined networks of Bcl-3 gene binding support its required role in skeletal muscle atrophy.

Authors:  Robert W Jackman; Chia-Ling Wu; Susan C Kandarian
Journal:  PLoS One       Date:  2012-12-10       Impact factor: 3.240

10.  The DEK oncoprotein binds to highly and ubiquitously expressed genes with a dual role in their transcriptional regulation.

Authors:  Carl Sandén; Linnea Järvstråt; Andreas Lennartsson; Per Ludvik Brattås; Björn Nilsson; Urban Gullberg
Journal:  Mol Cancer       Date:  2014-09-12       Impact factor: 27.401

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