Metascape uses data from over 40 knowledgebases and 10 model organisms to provide functional enrichment, interactome analysis, gene annotation, and membership search capabilities.
DARTS uses deep learning-based techniques to leverage public RNA-sequencing datasets to make predictions about alternative splicing in individuals datasets.
The company shared details of its methods and results of some internal experiments but has been met with skepticism by members of the research community.
MSK's PathoMAN achieved 94 percent and 81 percent concordance with results from three commercial labs for pathogenic and benign variants, respectively.
Microba currently offers a direct-to-consumer gut microbiome profile product and plans to release additional products for clinical and research use cases.
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.
Australia will not be regulating gene editing of plants, animals, and human cell lines as long as no new genetic material is incorporated, reports Nature News.
