Bratislava-based HighChem offers software that is used by pharmaceutical and metabolomics laboratories for analyzing complex data and identifying small molecules.
The company formerly known as TransMed Systems looks to bring "clarity and transparency" to the emerging field of precision oncology and in patient-trial matching.
Metascape uses data from over 40 knowledgebases and 10 model organisms to provide functional enrichment, interactome analysis, gene annotation, and membership search capabilities.
MSK's PathoMAN achieved 94 percent and 81 percent concordance with results from three commercial labs for pathogenic and benign variants, respectively.
The machine-learning-based method identifies relationships between bacterial strains and tracks their movements in less time, using less memory than existing solutions.
The company has begun piloting the software, which is targeted towards bioinformatics companies and clinical laboratories, with early adopters ahead of the planned launch.
Results from a recent study suggest that considering nearby variants can improve the accuracy of neoantigen selection, resulting in better personalized vaccines for patients.
The planned product, which will target drug-development companies, uses machine learning techniques to predict the outcomes and likelihood of success of clinical trials.
In Genome Research this week: links between biological aging and mutations affecting epigenetic regulators; long-read sequencing-based strategy to map chromatin accessibility; and more.
