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

High-throughput RNA interference (RNAi) screening has become a widely used approach to elucidating gene functions. However, analysis and annotation of large data sets generated from these screens has been a challenge for researchers without a programming background. Over the years, numerous data ana...

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Main Authors: Asli N Goktug, Su Sien Ong, Taosheng Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3502531?pdf=render
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spelling doaj-f2c65b771dde455292b4d0751d96d8042020-11-24T20:51:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4938610.1371/journal.pone.0049386GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.Asli N GoktugSu Sien OngTaosheng ChenHigh-throughput RNA interference (RNAi) screening has become a widely used approach to elucidating gene functions. However, analysis and annotation of large data sets generated from these screens has been a challenge for researchers without a programming background. Over the years, numerous data analysis methods were produced for plate quality control and hit selection and implemented by a few open-access software packages. Recently, strictly standardized mean difference (SSMD) has become a widely used method for RNAi screening analysis mainly due to its better control of false negative and false positive rates and its ability to quantify RNAi effects with a statistical basis. We have developed GUItars to enable researchers without a programming background to use SSMD as both a plate quality and a hit selection metric to analyze large data sets.The software is accompanied by an intuitive graphical user interface for easy and rapid analysis workflow. SSMD analysis methods have been provided to the users along with traditionally-used z-score, normalized percent activity, and t-test methods for hit selection. GUItars is capable of analyzing large-scale data sets from screens with or without replicates. The software is designed to automatically generate and save numerous graphical outputs known to be among the most informative high-throughput data visualization tools capturing plate-wise and screen-wise performances. Graphical outputs are also written in HTML format for easy access, and a comprehensive summary of screening results is written into tab-delimited output files.With GUItars, we demonstrated robust SSMD-based analysis workflow on a 3840-gene small interfering RNA (siRNA) library and identified 200 siRNAs that increased and 150 siRNAs that decreased the assay activities with moderate to stronger effects. GUItars enables rapid analysis and illustration of data from large- or small-scale RNAi screens using SSMD and other traditional analysis methods. The software is freely available at http://sourceforge.net/projects/guitars/.http://europepmc.org/articles/PMC3502531?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Asli N Goktug
Su Sien Ong
Taosheng Chen
spellingShingle Asli N Goktug
Su Sien Ong
Taosheng Chen
GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
PLoS ONE
author_facet Asli N Goktug
Su Sien Ong
Taosheng Chen
author_sort Asli N Goktug
title GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
title_short GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
title_full GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
title_fullStr GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
title_full_unstemmed GUItars: a GUI tool for analysis of high-throughput RNA interference screening data.
title_sort guitars: a gui tool for analysis of high-throughput rna interference screening data.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description High-throughput RNA interference (RNAi) screening has become a widely used approach to elucidating gene functions. However, analysis and annotation of large data sets generated from these screens has been a challenge for researchers without a programming background. Over the years, numerous data analysis methods were produced for plate quality control and hit selection and implemented by a few open-access software packages. Recently, strictly standardized mean difference (SSMD) has become a widely used method for RNAi screening analysis mainly due to its better control of false negative and false positive rates and its ability to quantify RNAi effects with a statistical basis. We have developed GUItars to enable researchers without a programming background to use SSMD as both a plate quality and a hit selection metric to analyze large data sets.The software is accompanied by an intuitive graphical user interface for easy and rapid analysis workflow. SSMD analysis methods have been provided to the users along with traditionally-used z-score, normalized percent activity, and t-test methods for hit selection. GUItars is capable of analyzing large-scale data sets from screens with or without replicates. The software is designed to automatically generate and save numerous graphical outputs known to be among the most informative high-throughput data visualization tools capturing plate-wise and screen-wise performances. Graphical outputs are also written in HTML format for easy access, and a comprehensive summary of screening results is written into tab-delimited output files.With GUItars, we demonstrated robust SSMD-based analysis workflow on a 3840-gene small interfering RNA (siRNA) library and identified 200 siRNAs that increased and 150 siRNAs that decreased the assay activities with moderate to stronger effects. GUItars enables rapid analysis and illustration of data from large- or small-scale RNAi screens using SSMD and other traditional analysis methods. The software is freely available at http://sourceforge.net/projects/guitars/.
url http://europepmc.org/articles/PMC3502531?pdf=render
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