CAGEr-class: CAGEr objects
In charles-plessy/CAGEr: Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining
CAGEr-class R Documentation
CAGEr objects
Description
The CAGEr package provides one classe of objects to load, contain and
process CAGE data: the CAGEexp class, introduced 2017, which is based on the
MultiAssayExperiment class. In comparison with the original CAGEset
class (removed in 2021) CAGEexp objects benefit from a a more efficient data storage, using
DataFrames of run-length-encoded (Rle) integers, allowing for the
loading and use of much larger transcriptome datasets.
References
Haberle V, Forrest ARR, Hayashizaki Y, Carninci P and Lenhard B
(2015). “CAGEr: precise TSS data retrieval and high-resolution
promoterome mining for integrative analyses.” Nucleic Acids Research,
43, pp. e51., http://nar.oxfordjournals.org/content/43/8/e51
charles-plessy/CAGEr documentation built on Nov. 4, 2023, 11:57 a.m.
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| CAGEr-class | R Documentation |
CAGEr objects
Description
The CAGEr package provides one classe of objects to load, contain and
process CAGE data: the CAGEexp class, introduced 2017, which is based on the
MultiAssayExperiment class. In comparison with the original CAGEset
class (removed in 2021) CAGEexp objects benefit from a a more efficient data storage, using
DataFrames of run-length-encoded (Rle) integers, allowing for the
loading and use of much larger transcriptome datasets.
References
Haberle V, Forrest ARR, Hayashizaki Y, Carninci P and Lenhard B (2015). “CAGEr: precise TSS data retrieval and high-resolution promoterome mining for integrative analyses.” Nucleic Acids Research, 43, pp. e51., http://nar.oxfordjournals.org/content/43/8/e51
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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