Overview of the NCI Cancer Research Data Commons, Genomic Data Commons (GDC), and NCI Cloud Resources
07 Jun 2018 | Presentations | Contributor(s): Tanja Davidsen, Mervi Heiskanen
Nano WG presentation, June 7, 2018 by Tanja Davidsen, NCI CBIIT The Cancer Research Data Commons (CRDC) and NCI Cloud Resources overview.
15 Aug 2017 | Publications | Contributor(s): Stephanie Morris
Collated tweets from workshop and networking reception.
NANOANALYTICS OF EXTRACELLULAR VESICLES – Standards for isolation, characterization and reporting
26 May 2017 | Presentations | Contributor(s): Shivani Sharma
Nano WG presentation on May 25, 2017. Presentation by Dr. Shivani Sharma, Associate Director of the Nano Pico Characterization Lab, UCLA. Nanoscale characterization of exosomes and their use disease biomarkers and drug delivery agents
Human Disease Ontology
21 Sep 2016 | External Applications | Contributor(s): Lynn Schriml
The Disease Ontology has been developed as a standardized ontology for human disease, since 2003, with the purpose of providing the biomedical community with manual curated, consistent, reusable and sustainable descriptions of human disease terms, phenotype characteristics and related...
Summary of the 2015 Epigenetic Engineering for Cancer Workshops
22 Dec 2015 | Publications | Contributor(s): Tony Dickherber
This document provides a general summary of the 2 virtual workshops held in Fall of 2015 to explore the suitability of epigenetic engineering tools to specifically modify epigenetic loci to study and/or treat cancer.
Community Health Worker Genetics Education Needs Assessment
23 Nov 2015 | Downloads | Contributor(s): Andria Reyes, Manuela Orjuela, Karen Schmitt, Andria Reyes, Grace Hillyer, Stephen Emerson
Our overarching goal is to develop and establish a cancer genetics curriculum that is pertinent, culturally sensitive and understandable by a community population who is not English dominant and of a lower literacy level than that of the general New York City population. The curriculum will teach...
"Show me the data!" Practical solutions to interactive visual analysis for big data.
18 Sep 2015 | Presentations | Contributor(s): Samuel Payne
Nano WG September 10, 2015.Intuitive data visualization is critical for biomedical data analysis; especially essential is the ability for non-computational scientists to productively browse the data and apply their domain knowledge. We present Active Data Biology, a web-based visual...
UCSC Biomedical Evidence Graph Demonstration
03 Jun 2015 | Presentations | Contributor(s): Josh Stuart, ellrott
The BMEG demonstration includes the following elements: 1) Organization of crowd-source challenges to develop best-of-breed methods including an overview of current DREAM projects, living benchmarks; 2) Enabling cloud-ready methods for mass compute with examples of recently...
Seven Bridges Cancer Genomics Cloud Pilot TCGA 2015 symposium workshop presentation
23 May 2015 | Presentations | Contributor(s): Deniz Kural
Basic and translational cancer research creates the need to disseminate, manage, and interpret large heterogeneous datasets. The volume and complexity of the data now routinely generated by high-throughput technologies has become too costly for individual laboratories and many research...
Introduction to the Trinity Cancer Transcriptome Analysis Toolkit
05 Feb 2015 | Teaching Materials | Contributor(s): Brian Haas, Aviv Regev, Bill Barnett
This short video provides an overview of our ITCR-funded effort to leverage RNA-Seq and de novo transcriptome assembly to assist researchers in studying cancer transcriptomes. Visit our NCGAS Trinity/Galaxy portal to access these compute...
Video: Learn how TIES can help manage research resources
16 Jan 2015 | Presentations | Contributor(s): Girish Chavan, Rebecca Crowley
CRAVAT Introduction Video - Cancer Related Analysis of Variants
03 Dec 2014 | Teaching Materials | Contributor(s): Michael C Ryan
This video provides a brief overview of the CRAVAT web service(http://www.cravat.us/). CRAVAT provides annotation and analysis of cancer mutations. CRAVAT is free, very easy to use, and can handle large volumes of mutations.[[Youtube(xovmIy11Bcs)]]Please switch to 1080 resolution and watch...
Multiclass cancer diagnosis using tumor gene expression signatures
10 Nov 2014 | Downloads
Experiment Description: The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data. In some instances, this task is difficult or impossible because of atypical clinical...
Summarization of Big Data
07 Nov 2014 | Presentations | Contributor(s): Jeffrey A. Blimes
All about assay selection...
Informatics to enable Routine Personalized Cancer Therapy (IPCT)
18 Feb 2014 | Presentations | Contributor(s): Elmer V. Bernstam, Funda Meric-Bernstam
Advanced Development of TIES - A Clinical Text Search Engine
18 Feb 2014 | Presentations | Contributor(s): Rebecca Crowley
Archived human tissues are an essential resource for translational research. Formalin-fixed, paraffin-embedded (FFPE) tissues from cancer patients are used in a wide range of assays, including RT-PCR, SNP profiling, multiplex biomarkers, imaging biomarkers, targeted exome, whole exome, and whole...
Informatics Tools for High-throughput Analysis of Cancer Mutations
15 Jan 2014 | Presentations | Contributor(s): Michael C Ryan, Rachel Karchin
Overview: The HUBzero Platform for Scientific Collaboration
18 Dec 2013 | Presentations | Contributor(s): Michael McLennan
This web site was created using a collaborative infrastructure called HUBzero, developed by Purdue University. HUBzero is the basis of nanoHUB.org and more than 50 other sites covering a wide range of scientific disciplines, including bio-fuels, microelectromechanical systems, cancer research,...
Overview on HUBzero - Building Scientific Communities Online
03 Sep 2013 | Teaching Materials | Contributor(s): Michael McLennan
This is a white paper/publication on the HUB and how one can build online communities using the HUBzero platform. See the tab on supporting documents for a video presentation.