The software, developed by researchers at the Ontario Institute for Cancer Research, uses machine learning methods to classify mutations as germline or somatic.
Participants tried to classify samples based on the epigenomic impact of cigarette smoke cessation and aerosol from modified- or reduced-risk products.
The computational method, called DeepCpG, is designed to tease out missing epigenetic marks and related DNA motifs in single-cell DNA methylation data.
As part of the deal, scientists from Philips' Intellispace Genomics development team will relocate to NYMC's biotechnology incubator in Westchester County.
The newly minted company offers panel, whole-genome and whole exome sequencing, as well as bioinformatics analysis and reporting services to oncologists.
The curriculum will cover computer science and experimental biology courses and offer opportunities for students to contribute to faculty research projects.
Yale Environment 360 writes that synthetic and conservation biologists aren't always on the same wavelength, but they are trying to reach an understanding.
