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lncRna

A Comprehensive Workflow for Long Non-coding RNA Identification and Functional Analysis

Bioconductor version: 3.23 · Package version: 1.0.0

Provides a complete workflow for the identification, analysis, and functional annotation of long non-coding RNAs (lncRNAs) from RNA-Seq data. The package includes functions for filtering transcripts from GTF files, evaluating the performance of multiple coding potential prediction tools (e.g., CPC2, PLEK, CPAT), and summarizing their agreement. It enables systematic performance analysis of individual tools, "at least N" tool consensus, and all possible tool combinations. Functional analysis is supported through the identification of potential cis- and trans-acting interactions with protein-coding genes, followed by enrichment analysis. Results can be visualized using a variety of plots, including radar plots, clock plots, and interactive Sankey diagrams.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lncRna")

Details

MaintainerJan Pawel Jastrzebski <bioinformatyka@gmail.com>
AuthorJan Pawel Jastrzebski [aut, cre] (ORCID: <https://orcid.org/0000-0001-8699-7742>), Damian Czopek [ctb, aut] (ORCID: <https://orcid.org/0009-0005-3471-4866>), Mariusz Jankowski [ctb] (ORCID: <https://orcid.org/0009-0000-7872-4023>), Monika Gawronska [ctb] (ORCID: <https://orcid.org/0009-0001-2677-6371>), Wiktor Babis [ctb] (ORCID: <https://orcid.org/0009-0006-3648-3413>), Stefano Pascarella [ctb] (ORCID: <https://orcid.org/0000-0002-6822-4022>), Hugo Gruson [ctb] (ORCID: <https://orcid.org/0000-0002-4094-1476>)
LicenseMIT + file LICENSE
URLhttps://github.com/prodakt/lncRna
Bug Reportshttps://github.com/prodakt/lncRna/issues
Downloads rank43
Source branchRELEASE_3_23
biocViewsClassification, FunctionalGenomics, FunctionalPrediction, GeneExpression, QualityControl, RNASeq, Software, Transcription, Visualization

Documentation

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Dependencies

Imports: fmsb, ggplot2, grDevices, graphics, Hmisc, patchwork, plotly, Polychrome, tidyr, S4Vectors, scales, stats, stringr, GenomicRanges, utils

Suggests: IRanges, methods, BiocStyle, gprofiler2, knitr, rmarkdown, rtracklayer, seqinr, testthat (>= 3.0.0), venn