TranscriptomeReconstructoR
TranscriptomeReconstructoR reconstructs transcriptomes by integrating full-length RNA-seq, high-throughput 5' and 3' tag sequencing, and optional nascent RNA-seq to generate accurate gene and transcript models anchored to a reference genomic DNA sequence.
Key Features:
- Integration of Complementary Datasets: Integrates full-length RNA-seq to detect complex splicing patterns, high-throughput 5' and 3' tag sequencing to precisely delineate gene borders, and optional nascent RNA-seq to identify transient transcripts.
- De Novo Annotation: Reconstructs transcriptomes de novo using only the reference genomic DNA sequence without requiring pre-existing transcriptome annotations.
- Bioconductor Integration: Integrates with Bioconductor packages to enable downstream analysis within existing bioinformatics workflows.
Scientific Applications:
- Annotation improvement: Improves transcriptome annotation accuracy and comprehensiveness by combining complementary experimental datasets.
- Arabidopsis thaliana transcriptome annotation: Applied to wild type Arabidopsis thaliana seedlings and produced annotations that outperformed TAIR10 and Araport11, identifying thousands of transient transcripts previously unannotated.
Methodology:
Implements a data-driven automated annotation pipeline that constructs gene and transcript models from integrated sequencing datasets.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 3/3/2021
Operations
Publications
Ivanov M, Sandelin A, Marquardt S. TrancriptomeReconstructoR, A Data-Driven Annotation of Complex Transcriptomes. Unknown Journal. 2020. doi:10.21203/rs.3.rs-131404/v1.
Ivanov M, Sandelin A, Marquardt S. TrancriptomeReconstructoR: data-driven annotation of complex transcriptomes. Unknown Journal. 2020. doi:10.1101/2020.12.10.418897.