z-logo
open-access-imgOpen Access
Quality Control for RNA-Seq (QuaCRS): An Integrated Quality Control Pipeline
Author(s) -
Karl Kroll,
Nima E. Mokaram,
Alexander R. Pelletier,
David Frankhouser,
Maximillian Westphal,
Paige Stump,
Cameron L. Stump,
Ralf Bundschuh,
James S. Blachly,
Pearlly S. Yan
Publication year - 2014
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s14022
Subject(s) - computer science , pipeline (software) , sample (material) , quality (philosophy) , data mining , interface (matter) , database , source code , data quality , control (management) , metric (unit) , artificial intelligence , programming language , operating system , engineering , philosophy , epistemology , chemistry , operations management , chromatography , bubble , maximum bubble pressure method
QuaCRS (Quality Control for RNA-Seq) is an integrated, simplified quality control (QC) system for RNA-seq data that allows easy execution of several open-source QC tools, aggregation of their output, and the ability to quickly identify quality issues by performing meta-analyses on QC metrics across large numbers of samples in different studies. It comprises two main sections. First is the QC Pack wrapper, which executes three QC tools: FastQC, RNA-SeQC, and selected functions from RSeQC. Combining these three tools into one wrapper provides increased ease of use and provides a much more complete view of sample data quality than any individual tool. Second is the QC database, which displays the resulting metrics in a user-friendly web interface. It was designed to allow users with less computational experience to easily generate and view QC information for their data, to investigate individual samples and aggregate reports of sample groups, and to sort and search samples based on quality. The structure of the QuaCRS database is designed to enable expansion with additional tools and metrics in the future. The source code for not-for-profit use and a fully functional sample user interface with mock data are available at http://bioserv.mps.ohio-state.edu/QuaCRS/.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom