Attend this webinar to learn how Dr. Neville Sanjana and his lab are expanding the potential of an already revolutionary biomedical tool that pinpoints and treats the very genes involved in cancers and other diseases.

Register for the 2021 CPTAC Virtual Scientific Symposium to hear about the most current research advances in cancer proteogenomics and see demonstrations of data analysis tools by CPTAC investigators.

Dr. Pjotr Prins and Arun Isaac will discuss how they are using FAIR+ (Findable, Accessible, Interoperable, Reusable, and Computable) principles to build reproducible and scalable software while working with GeneNetwork.org, one of the oldest web-based bioinformatics tools.

This NIH-FDA sponsored workshop will bring together members of the scientific community to discuss the obstacles and opportunities associated with next-generation sequencing (NGS) and radiomics tool development, validation, and regulatory science. NCI presenters include NCI Director, Dr. Ned Sharpless, and CBIIT Director, Dr. Tony Kerlavage, who will be providing the keynote presentation on the NCI Cancer Research Data Commons.

Attend this webinar to learn how Dr. Arul Chinnaiyan and his team are using “omics” technologies and approaches to discover new disease and therapeutic targets for cancer diagnosis and treatment.

The NCI Genomic Data Commons’ (GDC) September webinar will introduce cancer researchers and bioinformaticians to a single-cell RNA-seq (scRNA-seq) tool they can use to study tumor heterogeneity and its microenvironment.

As they join fellow data sharing experts and thought leaders at the upcoming FDA-Project Data Sphere Symposium, NCI Director Dr. Ned Sharpless and NCI Office of Data Sharing Director Dr. Jaime Guidry Auvil will share insights about the positive forces making clinical trial data accessibility and reuse possible at NCI.

Join the September NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar to find out how a team leveraged a CGC tool to discover new mutations in a small splicing factor that might have a bigger role in cancer.

In this webinar, Dr. Yanjun Qi will demonstrate AttentiveChrome, an attention-based deep learning approach that uses a unified architecture to model and interpret interactions and dependencies among the chromatin factors underlying gene regulation.

Dr. Kevyan Farahani, the lead of the NCI Imaging Data Commons, will present NCl's cancer data science resources that support the imaging informatics community at the Conference on Machine Intelligence in Medical Imaging.