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  1. CWIG_May08th2020_DavidGodlove_Recording

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    04 Nov 2020

  2. CWIG_May10th2020_RedHat_Recording

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    04 Nov 2020

  3. CWIG_Nov08th2019_Pathos_Doig_Slides

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    04 Nov 2020

  4. CWIG_Nov08th2020_PathOS_Recording

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    04 Nov 2020

  5. CWIG_Oct09th2020_Tibanna_SooLee_Recording

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    04 Nov 2020

  6. CWIG_OCT11th2020_JohannesKoster-Recording

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    04 Nov 2020

  7. CWIG_Oct152019_PDCIntegrationSBG_Slides

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    04 Nov 2020

  8. CWIG_Sept11th2020_Avi Ma'ayan_Recording

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    04 Nov 2020

  9. CWIG_Sept13th2019_McKerrow_IntegratingMultiOmics_Slides

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    04 Nov 2020

  10. CWIG_Sept13th2019_SBG_Recording

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    04 Nov 2020

  11. Human Disease Ontology

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    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...

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

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

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

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

  14. Integrated analysis of breast cancer cell lines reveals unique signaling pathways

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    16 Sep 2014 | Contributor(s): Laura M Heiser, Nicholas J Wang, Carolyn L Talcott, Keith R Laderoute, Merrill Knapp, Yinghui Guan, Zhi Hu, Safiyyah Ziyad, Barbara L Weber, Sylvie Laquerre, Jeffrey R Jackson, Richard F Wooster, Wen Lin Kuo, Joe W Gray, Paul T Spellman

    AbstractBackgroundCancer is a heterogeneous disease resulting from the accumulation of genetic defects that negatively impact control of cell division, motility, adhesion and apoptosis. Deregulation in signaling along the EgfR-MAPK pathway is common in breast cancer, though the manner in which...

  15. Integrative Cancer Biology Program Datasets

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    26 Apr 2016 | Series | Contributor(s): Jonathan Bistline, Michael Reich

    The NCI-ICBP promotes an integrative/systems approach to the study of cancer biology. The Program encourages scientists to study cancer as a complex biological system. Information gained from these studies are used to build reliable and testable predictive computation models of cancer processes...

  16. Introduction to the Trinity Cancer Transcriptome Analysis Toolkit

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    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...

  17. LBL ICBP50 integrative genomic data

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    13 Nov 2014 | Downloads | Contributor(s): Joe Gray, Jonathan Bistline

    From Joe Gray, Lawrence Berkeley National Laboratory.  There are seventeen (17) files in this study: Affymetrix U133A gene expression data (icbp_u133a.gct) Affymetrix U133A gene expression data (ICBP_U133a.zip) Affymetrix splice junction exon-exon data (ICBP_Junction.zip) Affymetrix...

  18. Multiclass cancer diagnosis using tumor gene expression signatures

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    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...

  19. NANOANALYTICS OF EXTRACELLULAR VESICLES – Standards for isolation, characterization and reporting

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    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

  20. October 2021 CWIG Webinar Slides - Arun Isaac

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