mobile app to find genetic associations

For genetic researchers, medical doctors

Muck
How is the score calculated?

To determine whether an idea is "Muck" or "Brass," we consider three key factors:

1). Is the search volume increasing? It’s advantageous to be in a growing market.
2). Is there significant competition? While competition can validate an idea, too much of it can make it difficult to stand out.
3). Are enough people searching for the relevant keywords? If search volume is too low, building a business around the idea may be challenging.

Of course, startups aren’t an exact science—very little people were searching for "couch surfing" when Airbnb first launched.

Trending searches

genetic data analysisgenetic research databasegenetic research software
Search Volume70 / month
Competition (SEO)5 / 100
Competition (paid)12 / 100
Cost per click$1.14

Search Volume

Last 5 years

Prompt

Copy-paste the following prompt onto Marblism to build this app

Our mobile app is designed specifically for genetic researchers and medical doctors who face challenges in identifying and interpreting genetic associations. Traditional research methods can be time-consuming and overwhelming, often leading to difficulty in accessing relevant studies and genetic data. With our app, users can quickly search for genetic associations linked to specific diseases or conditions, streamlining the research process and reducing the time spent on data collection. Key features include a comprehensive database of curated genetic studies, real-time updates on the latest research findings, and advanced filtering options that allow users to tailor searches based on specific criteria. Additionally, the app offers interactive visualization tools to help users easily interpret complex genetic relationships, while integrated collaboration features enable seamless communication and information sharing among research teams. By addressing these pain points, our app empowers genetic researchers and medical doctors to make informed decisions more efficiently, ultimately advancing their work in genetics and patient care.

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