* Fits into your development environment: HPE Security Fortify SCA supports a wide variety of development environments, languages, platforms, and frameworks to enable security reviews in mixed development and production environments. * Most accurate in the market: HPE Security Fortify SCA provides accurate results and detects a breadth of issues unmatched by other static testing technologies. * Easy to use: HPE Security Fortify SCA fits into your existing development environment. It is a flexible command line static code analyzer that can integrate into any environment through scripts, plugins, and GUI tools so developers can get up and running quickly and easily. * Scalable to any application: Applications come from multiple sources, in-house, outsource, third party, open source, mobile, and acquisitions, so testing and maintaining the security integrity of all these application types is a challenge. * On Premise or On Demand: HPE Security Fortify SCA is offered in multiple delivery models designed to accommodate changing needs.

* Below are some examples of analyses that can be run in PLATO and the options that are available to the user. These examples are intended as a jumping off point for the user to customize their own analyses. For a handy list of all available commands and options, organized by function, see the PLATO Quick Reference, which lists the commands by function and is cross-referenced to their location in the manual. * Recode PED/MAP to Binary PLINK format $ plato load-data --file geno output-bed --file binarygeno * Recode Binary PLINK to PED/MAP, Only a Single Chromosome $ plato load-data --bfile bingeno --chrom 22 \ output-ped --ped geno.ped --map custom_geno.map * Perform a Simple Case/Control GWAS (no covariates, Bonferroni corrected p-values) $ plato load-data --bfile bingeno \ logistic --correction Bonferroni * PheWAS on Quantitative Outcomes using Markers with MAF between 10% and 40% $ plato load-data --bfile bingeno \ load-trait --file pheno.txt --missing=”-999” \ filter-maf --min 0.1 --max 0.4 linear --phewas --covariates AGE,BMI * EWAS (No Genetic Data, Quantitative Predictor Variables) $ plato load-trait --file pheno.txt --dummy-samples --extra-samples logistic --exclude-markers --use-traits --outcome PHENO * Concordance Checking (VCF vs. PED/MAP w/o FID) $ plato load-data --vcf-file data.vcf.gz concordance --file geno --no-fid * GWAS with Dog Data and Permutation Testing $ plato --chroms 38 load-data --file dog_geno logistic --permutations 1000