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  1. CWIG_Nov08th2020_PathOS_Recording

    04 Nov 2020

  2. CWIG_Oct09th2020_Tibanna_SooLee_Recording

    04 Nov 2020

  3. CWIG_OCT11th2020_JohannesKoster-Recording

    04 Nov 2020

  4. CWIG_Oct152019_PDCIntegrationSBG_Slides

    04 Nov 2020

  5. CWIG_Sept11th2020_Avi Ma'ayan_Recording

    04 Nov 2020

  6. CWIG_Sept13th2019_McKerrow_IntegratingMultiOmics_Slides

    04 Nov 2020

  7. CWIG_Sept13th2019_SBG_Recording

    04 Nov 2020

  8. Human Disease Ontology

    21 Sep 2016 | 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...

  9. Informatics to enable Routine Personalized Cancer Therapy (IPCT)

    18 Feb 2014 | Contributor(s): Elmer V. Bernstam, Funda Meric-Bernstam

  10. Informatics Tools for High-throughput Analysis of Cancer Mutations

    15 Jan 2014 | Contributor(s): Michael C Ryan, Rachel Karchin

  11. Introduction to the Trinity Cancer Transcriptome Analysis Toolkit

    05 Feb 2015 | 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...

  12. Multiclass cancer diagnosis using tumor gene expression signatures

    10 Nov 2014

    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...

  13. 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

  14. October 2021 CWIG Webinar Slides - Arun Isaac

    27 Dec 2021 | Downloads | Contributor(s): Alan Zheng

  15. October 2021 CWIG Webinar Slides - Pjotr Prins

    27 Dec 2021 | Downloads | Contributor(s): Alan Zheng

  16. 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.

  17. 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,...

  18. September 2021 CWIG Webinar Slides - Junjun Zhang

    27 Dec 2021 | Presentations | Contributor(s): Alan Zheng

  19. 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.

  20. The Cancer Genomics Cloud powered by Seven Bridges: a secure and scalable cloud-based platform to access, share and analyze multi-omics datasets

    18 May 2021 | Presentations

    The Cancer Genomics Cloud powered by Seven Bridges (CGC) is a NCI-funded cloud resource that provides a unified platform for cancer data analysis by co-localizing three components within the cloud: 1) large cancer datasets including TCGA, CPTAC and several others from CRDC data nodes; 2) >500...