InsideDNA
InsideDNA helps biotech and pharmaceutical companies improve biomarker strategies and reduce clinical trial risk. It does this with a proprietary, scalable B2B analytics platform that processes large data volumes quickly. The team combines statistics, bioinformatics, and machine learning to analyze metagenomics and metatranscriptomics data, including 16S rRNA and environmental samples, and leverages datasets like TCGA, CCLE, COSMIC, DRIVE, and PCAWG. It supports functional annotation with databases such as NCBI, KEGG, and Uniprot to identify predictive biomarkers and patient stratification pilots. The company works with academic and governmental institutions and targets preclinical and clinical programs at scale.
InsideDNA
InsideDNA helps biotech and pharmaceutical companies improve biomarker strategies and reduce clinical trial risk. It does this with a proprietary, scalable B2B analytics platform that processes large data volumes quickly. The team combines statistics, bioinformatics, and machine learning to analyze metagenomics and metatranscriptomics data, including 16S rRNA and environmental samples, and leverages datasets like TCGA, CCLE, COSMIC, DRIVE, and PCAWG. It supports functional annotation with databases such as NCBI, KEGG, and Uniprot to identify predictive biomarkers and patient stratification pilots. The company works with academic and governmental institutions and targets preclinical and clinical programs at scale.