BYASE
BYASE detects allele-specific expression at gene and isoform levels in polyploid organisms using Bayesian inference applied to single-end or paired-end RNA-seq data.
Key Features:
- Bayesian Inference Framework: Uses a Bayesian statistical model to estimate allele-specific expression at both gene and isoform levels.
- Polyploid Genome Support: Analyzes allele-specific expression in organisms with diploid or higher ploidy levels.
- RNA-Seq Data Compatibility: Processes both single-end and paired-end RNA-seq sequencing data for ASE detection.
- SNP Integration: Incorporates both phased and non-phased single nucleotide polymorphisms (SNPs) for allele assignment.
Scientific Applications:
- Allele-Specific Expression Analysis: Identifies differential expression between alleles at gene and transcript isoform levels.
- Polyploid Genomics Studies: Investigates allele-specific regulatory mechanisms in polyploid organisms.
- Transcript Isoform Regulation Analysis: Examines allele-dependent expression patterns across transcript isoforms using RNA-seq data.
Methodology:
BYASE integrates RNA-seq read data with phased or non-phased SNP information and applies Bayesian inference to estimate allele-specific expression at gene and isoform levels.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- desktop application, library
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/6/2021
Operations
Publications
Dong L, Wang J, Wang G. BYASE: a Python library for estimating gene and isoform level allele-specific expression. Bioinformatics. 2020;36(19):4955-4956. doi:10.1093/bioinformatics/btaa636. PMID:32678892.
PMID: 32678892
Funding: - National Natural Science Foundation of China: 61771165
- China Postdoctoral Science Foundation Funded Project: 2018T110302
Links
Repository
https://github.com/ncjllld/byase_gui