1 / 17

Cancer Molecular Analysis Project (CMAP) Informatics Carl F. Schaefer

Cancer Molecular Analysis Project (CMAP) Informatics Carl F. Schaefer. December 7, 2001. Agenda. Overview Data model Future plans url: http://cmap-prot.nci.nih.gov. CMAP Informatics. Scott Gustafson (NCICB) Denise Hise (NCICB) Himanso Sahni (NCICB) Carl Schaefer (NCICB).

aspen
Download Presentation

Cancer Molecular Analysis Project (CMAP) Informatics Carl F. Schaefer

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cancer Molecular Analysis Project (CMAP) InformaticsCarl F. Schaefer December 7, 2001

  2. Agenda • Overview • Data model • Future plans url: http://cmap-prot.nci.nih.gov

  3. CMAP Informatics • Scott Gustafson (NCICB) • Denise Hise (NCICB) • Himanso Sahni (NCICB) • Carl Schaefer (NCICB)

  4. Cancer Molecular Analysis Project • At this point, an informatics effort • Integrate information about • Molecular profiles of cancer • Molecular targets, classified by • Ontology • Pathway • Therapeutic and diagnostic agents • Clinical trials

  5. CMAP Home Page

  6. Change Context

  7. CMAP Report

  8. Pathway – Mutated in EGF Signaling

  9. Agent Page

  10. Protocol Page

  11. Expression Profiles • Stanford microarray data for NCI 60 cell lines • Preprocessing of data • Filtering (80% present) • Normalization (only on displayed color values) • Not clustering, but finding highly correlating genes

  12. Stanford, TACSTD1, Compressed

  13. Stanford, TACSTD1, Expanded

  14. Microarray Stats Query

  15. Microarray Stats Query Result

  16. Future Plans • Data – need more • Targets and anomalies • Expression data • Trials data (e.g., prevention) • Software • Move to Core infrastructure • Coordinate vocabularies (tissue, histology, agent, anomaly type)

More Related