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RNASeqCausalGenePrediction

alpha/beta-based scoring and filtering of candidate genes.

How to run the main script

To run the scoring and filtering pipeline, cd to the top directory and type in ./run.sh in a linux environment.
Some of the scripts use parallel (O. Tange (2011): GNU Parallel - The Command-Line Power Tool,;login: The USENIX Magazine, February 2011:42-47.)

Information about the subdirectories:

  • results -- contains the causal gene prediction results after running ./run.sh.
  • scripts -- contains scripts to score and filter candidate genes.
  • data -- contains misc data files for scoring and filtering such as the 2nd percentile omega values of the LCL and skin fibroblast samples from GTEx .
  • quant_data -- contains 5 omega quantified genes for 5 known cases and 6 unknown cases.
  • roh_hg38 -- contains files for positional filtering. The coordinates are in hg38, which were converted from hg19 using UCSB online LiftOver tool.
  • omega_min -- contains the minimum omega value of each coding gene from the 11 in-house RNA-seq datasets which were generated from RNA samples with RIN > 8.5.

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alpha/beta-based scoring and filtering of candidate genes.

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