 Hello, my name is Miao Xun Li. We are a statistic genetics and bioinformatics lab at Center for Genomic Sciences, the University of Hong Kong. We are interested in methodological innovations in bioinformatics, statistics for genetic mapping of human diseases. In human rotation, we published an online two WKG SIG to facilitate axon sequencing studies of inherited disorders. WKG SIG inherited comprehensive functions about quality control, filtration, annotation, and prioritization from our previous KGG SIG. At the same time, it also has enough unique functions, including strategy-based analysis procedure to ease genetic research, disease target analysis procedure to help clinical diagnosis. Besides, it also has one stop shop of visualization and annotation for your interest sequence variance. We did a series of comparison between WKG SIG and two popular tools, WNOVA and VEP. As for the very basic gene future annotation, you can see WKG SIG can always annotate more important sequence variance in the axonic regions. In a pedigree of compound heterocyclic mutation, WKG SIG can produce a very short list of three variants from around 1.2 million sequence variants. In two pedigrees of dominant disease, again, WKG SIG produce very short list from over 1 million sequence variants. Compared to WNOVA and VEP, WKG SIG has more functions for quality control, disease inheritance-based filtration, knowledge-based prioritization. This may be the reason why CWKG SIG produced a shorter list than WNOVA and VEP in these three pedigrees. It's unstoppable trend that more and more user-friendly and powerful tools will be developed for molecular diagnosis in human gene X community. So we believe these tools will contribute a lot to the development of personalized medicine in the future. Hi, I'm Lin Jun Li. WKG SIG is a comprehensive analysis platform for causal variant discovery in axon sequencing study. It's equipped with very flexible parameter settings for quality control, genetic inheritance patterns, variant filtering, and long synonymous variant prioritization. Specifically, it can provide a strategy-based analysis according to different genetic patterns and the study design. Including linkage strategy, wrong of homozygous strategy, double-edged gene strategy, overlapping strategy, global mutation strategy, and candidate gene strategy. In addition, WKG SIG can perform disease-targeted analysis based on non-gene panel of investigation diseases. To run our WKG SIG strategy-based model, user only need input the VCSI and pedigree information, as well as the defined analysis strategy. In the disease-targeted model, user only need input the investigated disease name. After click the submission button, the WKG SIG can run the job in an efficient way. Importantly, WKG SIG provides interactive pages and comprehensive annotation to interpret analysis results. We believe our WKG SIG can greatly benefit users without enough computational skills to perform professional analysis on axon sequencing study.