Literature DB >> 19168909

RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens.

Nora Rieber1, Bettina Knapp, Roland Eils, Lars Kaderali.   

Abstract

SUMMARY: We present RNAither, a package for the free statistical environment R which performs an analysis of high-throughput RNA interference (RNAi) knock-down experiments, generating lists of relevant genes and pathways out of raw experimental data. The library provides a quality assessment of the signal intensities, as well as a broad range of options for data normalization, different statistical tests for the identification of significant siRNAs, and a significance analysis of the biological processes involving corresponding genes. The results of the analysis are presented as a set of HTML pages. Additionally, all values and plots are available as either text files or pdf and png files. AVAILABILITY: http://bioconductor.org/

Mesh:

Substances:

Year:  2009        PMID: 19168909     DOI: 10.1093/bioinformatics/btp014

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


  29 in total

Review 1.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

Review 2.  High-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay.

Authors:  Sandeep Amberkar; Narsis A Kiani; Ralf Bartenschlager; Gualtiero Alvisi; Lars Kaderali
Journal:  World J Virol       Date:  2013-05-12

Review 3.  Statistical methods for analysis of high-throughput RNA interference screens.

Authors:  Amanda Birmingham; Laura M Selfors; Thorsten Forster; David Wrobel; Caleb J Kennedy; Emma Shanks; Javier Santoyo-Lopez; Dara J Dunican; Aideen Long; Dermot Kelleher; Queta Smith; Roderick L Beijersbergen; Peter Ghazal; Caroline E Shamu
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

4.  Noise reduction in genome-wide perturbation screens using linear mixed-effect models.

Authors:  Danni Yu; John Danku; Ivan Baxter; Sungjin Kim; Olena K Vatamaniuk; David E Salt; Olga Vitek
Journal:  Bioinformatics       Date:  2011-06-17       Impact factor: 6.937

5.  High throughput short interfering RNA (siRNA) screening of the human kinome identifies novel kinases controlling the canonical nuclear factor-κB (NF-κB) activation pathway.

Authors:  Sanjeev Choudhary; Kevin P Rosenblatt; Ling Fang; Bing Tian; Zhao-Hui Wu; Allan R Brasier
Journal:  J Biol Chem       Date:  2011-09-07       Impact factor: 5.157

6.  How to understand the cell by breaking it: network analysis of gene perturbation screens.

Authors:  Florian Markowetz
Journal:  PLoS Comput Biol       Date:  2010-02-26       Impact factor: 4.475

7.  Hepatitis C Virus Replication Depends on Endosomal Cholesterol Homeostasis.

Authors:  Ina Karen Stoeck; Ji-Young Lee; Keisuke Tabata; Inés Romero-Brey; David Paul; Philipp Schult; Volker Lohmann; Lars Kaderali; Ralf Bartenschlager
Journal:  J Virol       Date:  2017-12-14       Impact factor: 5.103

8.  A probabilistic model for cell population phenotyping using HCS data.

Authors:  Edouard Pauwels; Didier Surdez; Gautier Stoll; Aurianne Lescure; Elaine Del Nery; Olivier Delattre; Véronique Stoven
Journal:  PLoS One       Date:  2012-08-23       Impact factor: 3.240

9.  siMacro: A Fast and Easy Data Processing Tool for Cell-Based Genomewide siRNA Screens.

Authors:  Nitin Kumar Singh; Bo Yeun Seo; Mathukumalli Vidyasagar; Michael A White; Hyun Seok Kim
Journal:  Genomics Inform       Date:  2013-03-31

10.  GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.

Authors:  Asli N Goktug; Su Sien Ong; Taosheng Chen
Journal:  PLoS One       Date:  2012-11-20       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.