All functions

RNAseq_diference_btwn_pileup_df

comparing RNAseq vectors to quantify similarity/difference btwn snp locations

add_genotype_table()

Fill the sample_genotype database from VCF file(s)

compare_vectors()

compare two SNP vectors

conduct_experiment()

Conduct an experiment to attempt to map RNAseq librarys to genomes

create_bam_pileup_table()

Create a sqlite database to store sample/genotype data

create_plink_region_filter()

Create a plink region filter from GRangeList

create_sample_geno_db()

Create a sqlite database to store sample/genotype data

difference_between_genomes_df

comparing RNAseq vectors to quantify similarity/difference btwn snp locations

equivalence_class_dist_matrix()

Create variants of the distance matrix

filename_id_subject_mislabel_map

a dataframe to describe the samples to identify

filter_comparison_plt

plot comparing number of uncertains by position

genome_vectors()

generate Snp vectors from each genome

high_expr_genes

A GRangeList of highly expressed genes

highly_expressed_gene_virtual_table()

create virtual table of only highly expressed gene regions in the db

mapqOver10_no_secondary_results

results of the most stringent filter on the pileup

rnaseq_vector()

get vector of consensus bases over a given set of SNPs in an RNAseq library

sample_snp_loc_from_pileup()

extract unique SNP locations from RNAseq library

sample_snp_ranges()

extract unique SNP locations from a sample (view in the sample_genome_db) as a dataframe