Currently browsing: Cancer Genomics Cloud

CloudNeo: CWL Brings Cancer Genomics to the Cloud

Patrick

Cancer Genomics Cloud, Common Workflow Language

A cloud-based workflow for patient-specific tumor neoantigens CloudNeo—a computational workflow for identifying patient-specific tumor neoantigens from Next-Generation Sequencing (NGS) data, was recently published in Bioinformatics. Originating from Jeffrey Chuang’s lab at The Jackson Laboratory, CloudNeo is a neoantigen prioritization workflow designed specifically for the cloud. The authors have made the CloudNeo workflow available on the Seven

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Custom interactive analysis on all Seven Bridges environments

Jessica Lau

Cancer Genomics Cloud, Cavatica, Platform, Product News

This week we released Data Cruncher, an interactive analysis tool available on the Seven Bridges Platform, Cancer Genomics Cloud, and Cavatica. By enabling researchers to apply custom scripts in JupyterLab to data stored in the cloud, Data Cruncher supports interactive and collaborative bioinformatic analysis at scale. Bringing custom interactive analysis to the cloud Although some

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Optimizing novoBreak on the Cancer Genomics Cloud

Jessica Lau

Cancer Genomics Cloud

Last week, we released novoBreak—an exciting new bioinformatics software—on the Cancer Genomics Cloud (CGC). The tool, described by Zechen Chong and colleagues in Nature Methods, is a novel approach to detect breakpoints in cancer genomes with high precision and sensitivity. In this post, we explain how Zechen used the Publish your app

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Simons Genome Diversity Project now available on the Platform and CGC

Patrick

Cancer Genomics Cloud, Genomics, Platform, Seven Bridges News, Useful Data

We’ve just announced the availability of the Simons Genome Diversity Project (SGDP) dataset on our Platform and Cancer Genomics Cloud. In keeping with Seven Bridges’ mission to colocalize data and analysis tools on the cloud, anyone with an internet connection can now explore SGDP’s 35TB of data. One way to

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Launching the next DREAM Challenge on the Seven Bridges Cancer Genomics Cloud

Nick

Cancer Genomics Cloud, Science

The explosion in biomedical data requires ongoing development of analysis methods and community standards. A proven way of driving innovation is through Challenges—competitions to develop crowdsourced methods to answer specific scientific questions. These challenges offer unique opportunities for academic and commercial communities to advance science by developing precise algorithms and

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The Data Browser has a new look!

Kate Hodesdon

Cancer Genomics Cloud, Platform

Representing more than 11,000 patients, each analyzed across multiple molecular dimensions, The Cancer Genome Atlas (TCGA) represents an incredibly rich data resource. However, navigating this landscape to find exactly the data that is most interesting can be challenging – particularly when information is spread across multiple sources. To address this

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We are always engaged in research and development, working to build the future of genomics, science, and health. Let's work together. We'd love to hear about your projects and challenges, so drop us a line.

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