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GencoDymo2: Comprehensive Analysis of GENCODE Annotations and Splice Site Motifs

📦 Overview

GencoDymo2 is an R package tailored for dynamic extraction, exploration, and comparison of gene annotations from the GENCODE database for human and mouse genomes. This tool facilitates:

Automated retrieval of the latest or specific GENCODE releases
Visualization and quantification of annotation changes across versions
Extraction of introns, exons, splice motifs
Generation of splice site FASTA files for tools like MaxEntScan

It bridges bioinformatics workflows and annotation dynamics, enhancing reproducibility and comparative studies in transcriptome and splicing research.

💻 Installation

You can install the development version of GencoDymo2 directly from GitHub:

# install.packages("devtools")
devtools::install_github("monahton/GencoDymo2")

Then load it into your R session:

library(GencoDymo2)

🚀 Getting Started

To get started, view the vignette:

vignette("GencoDymo2")

Or visit the documentation website:
👉 https://monahton.github.io/GencoDymo2/

📁 Functions Highlights

Function	Description
`get_latest_release()`	Retrieves the latest available GENCODE release per species
`compare_release()`	compare annotation statistics between releases
`extract_introns()`	Extracts and processes introns from annotation
`assign_splice_sites()`	Assign the donor and acceptor splice sites
`extract_ss_motif()`	Extract splicing motifs for MaxEntScan tool

🛠️ Development & Contributing

GencoDymo2 is actively developed. Contributions and suggestions are welcome!

🔧 Open issues: https://github.com/monahton/GencoDymo2/issues
📬 Email: aboualezz.monah@hsr.it
🤝 Pull requests encouraged!

:writing_hand: Author

Monah Abou Alezz, PhD – aboualezz.monah@hsr.it.

San Raffaele Telethon Institute for Gene Therapy (SR-TIGET)
IRCCS San Raffaele Scientific Institute, Milan, Italy

🌍 Personal website

GENCODE
MaxEntScan

📣 Acknowledgments

Developed as part of ongoing research on lncRNA splicing and gene annotation evolution.
Special thanks to colleagues at IGM-CNR and collaborators across splicing research projects.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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