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CQN | Removing technical variability in RNA-seq data

Allows users to study RNA-Seq data. CQN is an algorithm using generalized regression to remove systematic bias introduced by deterministic features such as guanine-cytosine (GC)-content and quantile normalization. This permits the correction of global distortions. It includes other functions permitting the inclusion of map ability or elaborate models of sequence effects.

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CQN forum

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CQN classification

CQN specifications

Unique identifier:
OMICS_01949
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes
Name:
Conditional Quantile Normalization
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Stability:
Stable

CQN distribution

versioning

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No versioning.

CQN support

Documentation

Maintainers

  • Kasper Daniel Hansen <>
  • Zhijin Wu <>

Credits

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Publications

Institution(s)

Department of Biostatistics, Brown University, Providence, RI, USA

Funding source(s)

Supported by the National Institutes of Health (R01HG004059) and National Science Foundation (DBI-1054905).

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