https://github.com/juliaolivieri/DiffSplice
Tip revision: 6fa54f473eb55c9e68692a6aa1d92d479e56b830 authored by Julia Eve Olivieri on 26 August 2021, 22:47:23 UTC
add RPS24 plotting
add RPS24 plotting
Tip revision: 6fa54f4
README.md
# DiffSplice
* `donor_boxplots_4_15`: creates box plots for LIMCH1, PNRC1, TPM1, MYL6, and FYB1 for human individual 1.
* `finalize_dotplots`: creates dot plots for MYL6 and TPM1
* `plotgel`: creates pseudogel based on RT-PCR data
* `frac_significant_quantile`: creates plot showing how the fraction of genes called as significant changes with read depth
* `upset_significant`: make upset plots showing overlap between called genes for the three organisms
* `Validation_TS`: plot correlations of median SpliZ scores between donors and technologies
* `parse_bowtie2_output`: parse SAM alignments to create bowtie2 RPS24 barplots (not all data provided)
* `spliz_PCA`: k-means clusering based on ATP5F1C and RPS24, as well as plotting
* `test_effect_size_filter`: deciding on which effect size cutoff to use for cell type analysis (with plots)
* `significance_tables`: Create tables of genes called as 'significant' and get number called by cell type or compartment
* `Biology_paper_numbers_v2`: output number of cells per dataset