What are the possible entrepreneurial directions in bioinformatics?

Of course, there are two general directions, one is toB business, and the other is toC business. toB's business now focuses on scientific and technological services, providing services to scientific research institutions and companies with biological data analysis needs. The more traditional way is to publish papers as the goal, do data analysis, data visualization, etc., which is equivalent to doing projects in a software company. Nowadays, there are more and more companies with products or platforms similar to SBG, Bina, and TuTeGenomics in the United States. There are also bioinformatics companies in China such as GeneDock and L3.

ToC’s business seems to have more room for imagination, but there are also more pitfalls. For example, it provides personal genome analysis and interpretation services, such as disease risk prediction, ancestral component analysis, personalized life advice, etc. Foreign ones are similar to DNAFit, 23andme, and those related to cancer and other diseases. But in toC business, pure biological information can definitely only be one part of it. Actual needs can be solved by combining various experiments and online and offline services. Domestic GeneKang, WeGene, etc. are all toC companies that emphasize bioinformatics capabilities.

Maybe the sample size is too small, there are mostly jokes, and there is too much domestic hot money and follow-up investment, so it is really possible to make a splash, but most of them are not expected to last more than 2 years. And I am particularly capable of bragging. The normal situation is that we will raise tens of millions of dollars in financing from Silicon Valley in the second half of the year, and we will be valued at hundreds of millions next year. As for the products, they are similar to the advertisements filled on telephone poles decades ago. Let me tell you a joke. For example, I want to use sequencing to make fashion designs for you. Don’t laugh, it’s really a scam. The entrepreneurs themselves don’t know any technology, and the technical staff they recruit are basically very low-level. The entrepreneur promised to "build an alphago in the biological field, so and so, write me a deep learning app tomorrow, and I want to discuss cooperation with the government." The so-called analysis reports of this kind of company are just some random documents.