Replication Data for: 'ramr: an R package for detection of rare aberrantly methylated regions'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently</p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Computational Biology","DNA methylation","Epigenomics","ramr"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently</p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set contains all the necessary data sets (biologically-relevantsimulated data sets, preprocessed public data sets) used to evaluateperformance and obtain results using ramr (https://github.com/BBCG/ramr, http://www.bioconductor.org/packages/ramr/) -a new method for identification of aberrantly methylated regions (AMRs). Allthe necessary R scripts that were used for preparation, testing and analysisof data sets are also provided. For additional information please check ramrpackage README.md file, vignettes or reference citation.Please use TREE VIEW to browse files efficiently</p
Computational Biology; DNA methylation; Epigenomics; ramr