Advances in DNA sequencing and the vast amounts of genomic data being produced by next-generation sequencing (NGS) technology have created a startup opportunity to build software for biologists so they can more easily analyze this big data and take the next leap. It could help when it comes to developing new vaccines, cancer treatments and so on. For the last four years, MiLaboratories , a San Francisco-based startup with an R&D facility in Bilbao, Spain, has been building a computational biology platform to make it easier for biologists to process, analyze and aggregate their data.
It incorporates features like data visualization and generative AI to boost usability. Its platform is also designed to be a marketplace for other scientists so that they can distribute more specialized computation tools in the form of apps to keep expanding the utility for the genomics research community. MiLaboratories target scientists whose skillsets span biology, computer science and math — so-called bioinformaticians.
“It’s a ‘no code’ style approach for biologists and we also release an [open source] SDK — software development kit — allowing bioinformaticians to build real applications,” CEO Stan Poslavsky tells TechCrunch. “During my and our founders’ scientific career, we saw a huge inefficiency . .
. in how modern therapies, how modern drugs, are developed,” he explains. “Because of this friction between the data — the big data, generated by the biologists, the .
