Skip to main content
The NCI Community Hub will be retiring in May 2024. For more information please visit the NCIHub Retirement Page:https://ncihub.cancer.gov/groups/ncihubshutdown/overview
close

Resources: All

Find a resource
  1. bioinformatics x
  2. nanoparticle x
  3. standardsportal x
  4. cancer x
  5. breastcancer x
  1. Standards Portal CDEs Common Data Fields

    19 Mar 2014 | Downloads | Contributor(s): Denise Warzel, Sumudinie fernando, Ann Christine Catlin

    This DataView is for the Common Data Fields of the Standards Portal CDEsUse this DataView to browse, search, explore and download the essential set of columns for NCI common data elements standards at the Hub. These CDEs were brought to the Hub for clarification, discussion and discovery. They...

  2. Accelerating Nanotech Innovations Through a Safer-By-Design Approach, Safer Nanomaterials School

    14 May 2019 | Presentations | Contributor(s): Philippe Sabatier

    Nano WG May 9, 2019European Scientific Institute (ESI) Safer Nanomaterials School Introduction.

  3. 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...

  4. Adverse Events Terminology Standards, Data Elements and Case Report Forms

    15 Mar 2014 | Teaching Materials | Contributor(s): Sherri de Coronado, Ann Christine Catlin, Sumudinie fernando, Denise Warzel

    Standards for coding, naming and grading adverse events (AEs) in cancer clinical trials include both cancer-focused and broader systems that all result from collaboration among academic, governmental, and pharmaceutical industry clinical investigators. They are all based on the need for...

  5. Baylor Residual breast cancer

    13 Nov 2014 | Downloads | Contributor(s): Creighton C, Lewis M, Chang J, Jonathan Bistline

    Residual breast cancers after conventional therapy display mesenchymal as tumor-initiating features.  There are four (4) files included in this study: Sample Annotation (combined_sample_annotation.txt) Gene expression data from CD44+/CD24- cells sorted by flow cytometry (GSE7513.gct) Human...

  6. Breast Cancer Crossword

    20 Nov 2015 | Teaching Materials | Contributor(s): Katelyn Schifano

    This crossword is designed for use in social media as well as patient waiting areas.

  7. caNanoLab: data sharing to expedite the use of nanotechnology in biomedicine

    13 Dec 2013 | Publications | Contributor(s): Sharon Gaheen, George W Hinkal, Stephanie A Morris, Michal Lijowski, Mervi Heiskanen, Juli Klemm

    The use of nanotechnology in biomedicine involves the engineering of nanomaterials to act as therapeutic carriers, targeting agents and diagnostic imaging devices. The application of nanotechnology in cancer aims to transform early detection, targeted therapeutics and cancer prevention and...

  8. 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...

  9. 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...

  10. Development of natural language processing tools for nanoparticle design

    05 Mar 2019 | Presentations | Contributor(s): Nastassja Lewinski

    Nano WG February 28, 2019: In this presentation, an introduction to the application of natural language processing techniques to nanotechnology data will be discussed.  Natural language processing tools can aid in the automatic categorization, extraction, and analysis of data from...

  11. Development of Targeted Nanomedicines via Machine Learning Processes

    05 Mar 2019 | Presentations | Contributor(s): Daniel Heller

    Nano WG February 21, 2019Description: We are using data science to facilitate the development of nanoparticle drugs incorporating kinase inhibitors with diverse chemical structures. Doing this work inspired us to bring together the nanoinformatics community...

  12. Getting Started at the Standards Portal Pilot

    27 Mar 2014 | Teaching Materials | Contributor(s): Denise Warzel, Ann Christine Catlin

    The Standards Portal Pilot is now available! (Click the link for the portal home page.)Why use the standards portal? See more information about its genesis and use cases in a study conducted for the VCDE caBIG community here. If you are participating in the Pilot, please join the...

  13. 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...

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

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

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

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

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

    16 Sep 2014 | Publications | 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...

  17. Integrative Cancer Biology Program Datasets

    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...

  18. 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...

  19. LBL ICBP50 integrative genomic data

    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...

  20. 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...