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