Evers_CRISPRn_RT112     A benchmark CRISPRn pooled screen data from
                        Evers et al.
Sanson_CRISPRn_A375     A benchmark CRISPRn pooled screen data from
                        Sanson et al.
calc_mappability        A function to calculate the mappabilities of
                        each NGS sample.
fit_ab                  A C++ function to perform a parameter
                        estimation for the sgRNA-level test.  It will
                        estimate two different parameters 'phat' and
                        'vhat,' and we assume input count data follows
                        the beta-binomial distribution. Dr. Keith
                        Baggerly initially implemented this code in
                        Matlab, and it has been rewritten it in C++ for
                        the speed-up.
get_CPM                 A function to normalize sgRNA read counts.
join_count_and_design   A function to join a count table and a design
                        table.
measure_gene_stats      A function to perform gene-level test using a
                        sgRNA-level statistics.
measure_sgrna_stats     A function to perform a statistical test at a
                        sgRNA-level
plot_PCA                A function to plot the first two principal
                        components of samples.
plot_corr_heatmap       A function to show a heatmap sgRNA-level
                        corrleations of the NGS samples.
plot_count_distribution
                        A function to plot read count distribution.
plot_dotplot            A function to visualize dot plots for a gene.
quant                   A C++ function to quantify sgRNA abundance from
                        NGS samples.
run_estimation          A function to perform a statistical test at a
                        sgRNA-level, deprecated.
run_sgrna_quant         A function to run a sgRNA quantification
                        algorithm from NGS sample
