The National Human Genome Research Institute (NHGRI) Data Science Working Group is hosting this 2-day workshop to bring together members of the genomics and machine learning (ML) research communities. Discussions will examine the opportunities and obstacles underlying the application of ML methods to basic genome sciences and genomic medicine.

Industries, academia, and other organizations who are interested in competing for the contract to operate the Frederick National Laboratory for Cancer Research (FNLCR) are invited to attend “FFRDC Industry Day.” This will be an opportunity to learn more about the FNLCR’s mission, scientific programs/capabilities (like cancer data science), and the laboratory’s management, facilities, and business operations.

Dr. Charles Wang will address the need for guidance in selecting algorithms for accurate biological interpretations of varied data types acquired with different single-cell RNA sequencing platforms.

In this installment of the NCI Imaging and Informatics Community Webinar, Dr. Saurabh Jha will share hypothetical case studies and the legal scholarship surrounding the question: who gets sued when the algorithm makes a diagnostic error?

The NCI Genomic Data Commons' (GDC's) upcoming webinar will introduce new users to its portal and library of computational resources. GDC experts will also answer questions about the GDC and genomic analyses and also share upcoming features of the system. As a component within NCI’s Cancer Research Data Commons (CRDC), the GDC is a knowledge system for cancer that helps researchers share and access genomic, clinical, and biospecimen data and facilitates precision oncology.

In this Cancer Moonshot℠ seminar, Stanford University’s Dr. Christina Curtis will describe her work in NCI's Human Tumor Atlas Network and give an update on the human tumor atlases.

At the next Cancer Genome Cloud’s (CGC's) monthly webinar series, NCI Research Fellow, Dr. Xavier Bofill-De Ros, will share his experiences leveraging the NCI Cancer Research Data Commons (CRDC) Cloud Resources to study microRNA and its mechanisms.

Accurate detection of somatic mutations is challenging but critical to understanding how cancer forms and progresses. In this Data Science Seminar, Dr. Mohammad Sahraeian will demonstrate how a neural network called NeuSomatic can outperform conventional detection approaches that involve low coverage, low mutation frequency, damaged DNA, and/or ambiguous genomic regions.

In this webinar, Baylor College of Medicine’s Dr. Meenakshi Anurag will focus on two aspects of integrative analysis and translational research in the field of ER+ breast cancer research.

In this lecture, Dr. Susan Gregurick will share her personal journey as a data scientist while also spotlighting other women leaders at NIH whose similar intentions are to work toward a modern data ecosystem at the largest biomedical research agency in the world.