A comprehensive web platform for systematic assessment of long-read RNA-seq methods for transcript identification and quantification.
The LongTREC-LRGASP Platform provides a collaborative environment for researchers to:
- Submit predictions for transcript identification and quantification.
- Access benchmark datasets tailored for RNA-seq evaluations.
- Participate in structured evaluation challenges.
- Compare results and metrics with other participants for enhanced insights.
The platform supports three distinct challenges in RNA-seq analysis:
- Challenge 1: Reconstructing full-length transcripts.
- Challenge 2: Quantifying transcript abundance.
- Challenge 3: De novo transcript reconstruction.
Curated datasets include:
- Human (WTC11): Comprehensive transcriptomic data from the human WTC11 cell line.
- Mouse ES Cells: High-quality RNA-seq data for benchmarking.
- Manatee Leukocytes: Unique dataset for diverse transcriptomics evaluations.
Submissions are processed with real-time feedback, providing detailed performance metrics.
git clone https://github.com/your-repo/LRGASP-Platform.git
cd LRGASP-Platformpython -m venv venv
source venv/bin/activate # For Linux/Mac
venv\Scripts\activate # For Windowspip install -r requirements.txtflask run- Register for an account via the platform's web interface.
- Browse available challenges and associated datasets.
- Submit predictions through the upload interface.
- Access automated evaluation results for real-time insights.
We welcome contributions to the LongTREC-LRGASP Platform. Please follow these steps:
- Fork the repository and create a new branch for your feature (e.g. new benchmarking datasets, benchmarking matrices) or bug fix.
- Commit and push your changes to your fork.
- Submit a pull request for review.