Ctrl K

Software Projects Organisations Communities News

Ctrl K

.css-1e132ge{font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif,'Apple Color Emoji','Segoe UI Emoji','Segoe UI Symbol';font-weight:400;font-size:0.875rem;line-height:1.43;background-color:transparent;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding:6px 16px;color:rgb(96, 54, 20);background-color:rgb(253, 243, 234);width:100vw;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;margin-top:1rem;z-index:9;}.css-1e132ge .MuiAlert-icon{color:#ed6c02;}.css-1pl9tfm{background-color:#fff;color:rgba(34,36,37,1);-webkit-transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;transition:box-shadow 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms;border-radius:2px;box-shadow:var(--Paper-shadow);background-image:var(--Paper-overlay);overflow:auto;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,'Helvetica Neue',Arial,sans-serif,'Apple Color Emoji','Segoe UI Emoji','Segoe UI Symbol';font-weight:400;font-size:0.875rem;line-height:1.43;background-color:transparent;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;padding:6px 16px;color:rgb(96, 54, 20);background-color:rgb(253, 243, 234);width:100vw;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;margin-top:1rem;z-index:9;}.css-1pl9tfm .MuiAlert-icon{color:#ed6c02;}

Limited functionality: Your browser does not support JavaScript.

PhenoTips

PhenoTips is a software tool that makes it easy for clinicians and researchers to draw pedigrees and collect structured phenotype data for patients with genetic disorders.

mention

contributors

Get started

archived repository6738 commitsLast commit ≈ 42 months ago103 stars64 forks

Description

PhenoTips is based in Toronto, North America’s fastest-growing tech hub, just steps from the MaRS Discovery District and leading healthcare institutions. Surrounded by innovation, we are inspired to challenge the status quo of medical care in genetics, working towards a future in which patient data is unified and usable, rather than siloed in EHR systems and hospital filing cabinets.

Keywords

Programming languages