PASSNP: iOS App with GWAS SNPDisease Database for Personalized Genomics Research: PASSNP for GWAS SNPDisease To efficiently fathom the wealth of genomics and clinical data, there is a crucial need to generate appropriate genedisease annotation repositories accessed through modern resources. Our focus was to create a comprehensive database with mobile access to authentic Single Nucleotide Polymorphisms (SNPs) and classified diseases worldwide, considered as the foundation for clinical and genomics research, epidemiology and precision medicine. In this manuscript, we present nonprofit, academic and publicly available iOS application, PASSNP, which invites global users to freely download it on iPhone u0026 iPad devices, effortlessly adopt itu0027s easy to use interface and search for SNPs, genes and related diseases. PASSNP is developed with Swift multiparadigm programming language, XCODE integrated development environment for MacOS, and PHP scripting that uses a MySQL server database, which includes over 67,000 SNPs reported for over 19,000 genes, from patients located in over 1000 regions, published in over 3000 articles in over 415 journals available at the PubMed, and over 100,000 classified SNPdisease combinations. It includes SNPs released and organized by the Genomewide Association Study (GWAS). PASSNP is founded on the clinical and scientific premise to support and promote healthcare and genomics data sharing with technological advancements.

PASMUT with Somatic Mutations in Cancer and Classified Diseases for ClinicalGenomics Research: PASMUT & Somatic Mutations Over the recent years, enormous progress has been made in mapping complex traits in humans. These studies have demonstrated that there is a crucial need to generate appropriate genedisease annotation repositories accessed through modern resources. Our focus here is to create a comprehensive database with mobile access to authentic somatic mutations in cancer and classified diseases worldwide, considered as the foundation for clinical and genomics research, epidemiology and precision medicine. In this manuscript, we present a noncommercial, academic and publically available iOS app i.e., PASMUT, which invites global users to freely download it on iPhone u0026 iPad devices, quickly adopt its easy to use interface and search for somatic mutations, genes and related diseases. PASMUT is developed with Swift multiparadigm programming language, XCODE integrated development environment for MacOS, and PHP scripting that uses MySQL database and web servers. PASMUT database includes over a million authentic somatic mutations released global, including available at the COSMIC, CNVD, SwissVar, and ClinVar etc. PASMUT is founded on the clinical and scientific premise to support and promote healthcare and genomics data sharing with technological advancements.