Episo

Episo: Isoform-level quantification of RNA 5-methylcytosine (m5C) from RNA-BisSeq data

Episo quantifies RNA 5-methylcytosine (m5C) modifications at single-nucleotide resolution and transcript isoform level using high-throughput sequencing of bisulfite-treated RNA (RNA-BisSeq) data.


Key Features:

  • Isoform-Level Quantification: Estimates m5C levels for individual transcript isoforms to characterize differential m5C distribution and splicing-associated regulation.
  • Probabilistic Modeling: Applies a probabilistic model to estimate isoform-specific m5C levels from RNA-BisSeq reads.
  • Mapper Module: Aligns RNA-BisSeq reads to reference transcriptomes.
  • Quant Module: Computes isoform-level m5C modification levels.
  • Bisulfitefq Module: Simulates RNA-BisSeq datasets for validation and benchmarking.
  • Tool Integration: Integrates with Bowtie, Tophat, Cufflinks, and Kallisto for alignment and transcript quantification workflows.
  • Input Support: Accepts reference transcriptome sequences in FastA format (.fa, .fasta).

Scientific Applications:

  • Epitranscriptome Analysis: Characterizes non-uniform RNA m5C distribution across human and mouse transcript isoforms to investigate gene expression regulation and disease-associated mechanisms.

Methodology:

Episo processes RNA-BisSeq data by mapping reads to reference transcriptomes derived from Ensembl or NCBI annotations, estimating isoform-specific m5C levels using a probabilistic framework, and validating performance through simulated datasets and m5C-specific methylated RNA immunoprecipitation (meRIP) experiments.

Topics

Details

License:
BSD-2-Clause
Programming Languages:
Perl, C
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Liu J, An Z, Luo J, Li J, Li F, Zhang Z. Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite. Bioinformatics. 2019;36(7):2033-2039. doi:10.1093/bioinformatics/btz900. PMID:31794005. PMCID:PMC7141862.

PMID: 31794005
PMCID: PMC7141862
Funding: - National Nature Science Foundation of China: 31271398, 31671342, 31871331, 91540114

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