Single Channel Array Normalization (SCAN) is a microarray normalization method to facilitate personalized-medicine workflows.
The Universal Probability of expression Codes (UPC) method is an extension of SCAN that produces “probabilistic barcode” values that estimate the probability a given gene is active in a specific sample.
SCAN and UPC are currently implemented in the SCAN-UPC.
SeqCNVCBS is for the use of detecting Copy Number Variation (CNV) using sequencing data. Matched-samples of control and case (normal and tumor) are required. The algorithm uses a scan statistics to detect windows of rate differences in two non-homogeneous Poisson Processes.
AUTOSCAN automatically creates data files, uses MAKEPED (converts pre-linkage format files to linkage format), DOWNFREQ (estimates allele frequencies from pedigree data), and PEDCHECK (Mendelian checking) programs and finally starts statistical analyses via the ANALYZE package. ANALYZE performs parametric linkage analysis (MLINK), nonparametric affected sib-pair analysis (ASP), family-based association analysis (TDT, HRRR), and homogeneity testing (HOMOG). Input files for AUTOSCAN are the pedigree files for all chromosomes,the disease model file, the number of loci file, and the ANALYZE input file.The AUTOSCAN also allows easy handling of several phenotype traits and trait features by only changing the disease model file after each run.