Identifying disease associated gene mutations is an important part of genetic disease research in designing of targeted drugs. To accelerate gene mutation analysis, Omicsoft's Land database provides rich mutation visualization views including mutation and somatic mutation site distribution, mutation landscape, and mutation genome browser. Omicsoft's recent improvement to it's mutation annotation system allows user to annotate and filter mutations based on hundreds of criteria, including mutation confidence, position, gene information, functional mutation, eQTL information, regulation information protein information, and clinical information, using publicly available databases as the source for annotation.
A simple example is to compare the mutation distributions with and without synonymous mutation included:
With an improved annotation system, the user can also filter mutation and identify clinical phenotype associated mutations, using database resources like ClinVar.
Databases additionally include SIFT, Polyphen, 1000 Genomes, ExAC, ESP6500, GTEx eQTL, RegulomeDb, and Interpro Domain, and the system is designed to be able to support countless other databases or customer's internal annotation systems as well.