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What are the best tools for quantifying allele-specific expression from bulk RNA-seq data these days?

I’ve been using phASER (https://github.com/secastel/phaser) for allele-specific expression (ASE) analysis from bulk RNA-seq experiments, and I’ve found it to be quite easy and straightforward to use. However, I’ve realized that phASER doesn't account for strand-specific information, which is problematic for my data. Specifically, I end up getting the same haplotype/SNP counts for overlapping genes, which doesn’t seem ideal.

Are there any tools available that handle ASE quantification while also considering strand-specificity? Ideally, I’m looking for something that can accurately account for overlapping genes and provide reliable results. Any recommendations or insights into tools like ASEReadCounter, HaploSeq, SPLINTER, or others would be greatly appreciated!

ase phaser allele gene gatk
  • Do you have DNA sequencing on same samples or should I assume you just have bulk RNA seq only
  • Can you clarify if this is germline or somatic?
  • How many samples do you have?
  • I also have whole-genome data, which I’ve already processed for variant calling using GATK tools.
  • This is germline and I have 15 samples.

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