This package is published, but still under heavy development to include more features.
ORFik is a R package containing various functions for analysis of Ribo-Seq, RNA-Seq, CAGE and TCP-seq data related to transcriptomics. ORFik currently supports:
- Finding Open Reading Frames (very fast) in the genome of interest or on the set of transcripts/sequences.
- Hundreds of functions helping your analysis of either: sequence data, RNA-seq data, CAGE data, Ribo-seq data, TCP-seq data or RCP-seq data.
- Automatic estimations of RiboSeq footprint shift.
- Utilities for metaplots of RiboSeq coverage over gene START and STOP codons allowing to spot the shift.
- Shifting functions for the RiboSeq data.
- Annotation / re-annotation of 5' UTR Transcription Start Sites using CAGE data.
- Various measurements of gene identity, more than 30 functions. e.g. FLOSS, coverage, ORFscore, entropy that are recreated based on scientific publications.
- Utility functions to extend GenomicRanges for faster grouping, splitting, filtering etc. Included c++ function for speed.
- Extensive implemented syntax for coverage and metacoverage of NGS data, including smart grouping functions for easier prototyping.
- Automatic download of genome annotation from any species supported by ensembl.
- Automatic download and metadata extraction of NGS files from SRA, ERA, DRA and GEO.
- Full NGS alignment pipeline: Trimming data using fastp and alignment using STAR (with optional contaminant removals)
- Simplifying working with massive amounts of datasets using the ORFik experiment class.
Package is available from bioconductor (3.14, R version >= 4.0.0)
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("ORFik")
Development version on bioconductor (3.15, R version >= 4.0.0)
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("ORFik", version = "devel")
Package is also available here on github
if (!requireNamespace("devtools", quietly=TRUE))
install.packages("devtools")
devtools::install_github("Roleren/ORFik")
After installation run:
library(ORFik)
# NGS metadata extraction
?download.SRA.metadata
# NGS data download
?download.SRA
# Annotation download
?getGenomeAndAnnotation
# Tissue specific 5' utrs using cage-data
?reassignTSSbyCage
# Detecting open reading frames
?findORFs
# get a feature-set from predicted orfs
?computeFeatures
# read vignette (tutorials)
browseVignettes("ORFik")
Please read Bioconductor vignettes for detailed tutorials and examples.
Please feel free to provide feedback or desired functionality by creating a new issue on our github page.