Published April 17, 2024 | Version v1
Workflow Open

Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast

Description

Scripts used in the Paper "Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast" for RNA seq and GWAS analyses.

# TPM calculation

TPM were calculated using the R script `tpm_calc.R`. 

# GWAS

The script `simpleGWAS2_VV_Template.sh` is a template script to run a genome wide association between genotypes and phenotype in a single condition. It requires FaST-LMM 0.6.4 and R with qqman, viridis and stringr packages. It requires the scripts `rank_based_Inverse_Normal_Transformation.R` to normalize phenotypes, `runFaSTLMM.py` to run the associations, `calc_GIF.R` to compute the Genomic Inflation Factor and `qqman_script.R` to generate the Manhattan and QQ plots. 

The script `runParallel.sh` can be used to run multiple association in parallel. Just fill the 7 top variable and the `simpleGWAS2_VV_Template.sh` script will be filled and launched multiple times in parallel.

 

Files

Files (30.5 kB)

Name Size Download all
md5:a9965b75ef559bfa511ca651ef123cc2
515 Bytes Download
md5:34b6daf69a1dfa6fd9d1a694ecc2b878
12.1 kB Download
md5:39ac1dcbfe3e3a1262dc5c545f9e0ebf
2.4 kB Download
md5:418662256a1dfb7a9eaf40d854485418
8.7 kB Download
md5:0bbef16d2c4ba28f0c63583b5ff83eef
1.5 kB Download
md5:fba7a69d4d94e96735d3faa5b8a70e80
4.0 kB Download
md5:a6fdf8ce32abdedc09e53b44dd2c36c8
1.2 kB Download

Additional details

Software

Programming language
Python, R