Education and Outreach
The National Cancer Institute’s Integrative Cancer Biology Program
2009 Summer Cancer Research Fellowships
June 8 - August 7, 2009*
* Some fellowship sites may have modified program dates.
Summer research opportunities for sophomore and junior level college students
The Summer Cancer Research Fellowship program provides a unique opportunity for eligible sophomore or junior college students to engage in innovative, integrative biology approaches to cancer research through the National Cancer Institute’s (NCI) Integrative Cancer Biology Program (ICBP). The ICBP, composed of nine multi-disciplinary Centers across the United States, focuses on the analysis of cancer as a complex biological system. Researchers within each ICBP Center utilize the integration of experimental biology with mathematical and computational modeling to gain new insights into the biology and possible management of cancer.
Selected student participants will be paired with an ICBP faculty-mentor from a participating Center based on the students' indicated research interests. Through mentored research projects and/or laboratory work, faculty lectures, seminars, discussions and other activities, the students will gain an understanding and appreciation of major questions currently under investigation as well as the novel approaches being used within the ICBP Centers.
The program will begin June 8, 2009 and end August 7, 2009. Some centers will have modified dates based on the individual Center’s institution’s summer calendars.
Stipend and Housing
Participants will receive a stipend of $3,300 for the nine week program. Housing accommodations will be arranged through each ICBP research site; an allowance will be provided to cover housing costs. Travel to and from the research laboratory will be covered up to $600.
Application to the ICBP Summer Cancer Research Fellowship program is open to students currently enrolled as sophomores or juniors in an accredited college or university located in the continental United States. A student must live in the United States and be a United States citizen or hold a permanent resident visa to be eligible to apply. Priority will be given to students who have at least a 3.0 GPA computed over the last three semesters and who have successfully completed relevant course work in the areas of biological, chemical, physical, computational and mathematical sciences, or engineering. Students will be selected based on their academic record, statement of interest, and faculty recommendations. Students from under-represented minority groups and women are encouraged to apply.
For more information including project descriptions, and the online application, visit:
Online applications may be submitted beginning Monday, December 1, 2008. The online application is the only format accepted by the NCI - ICBP Summer Cancer Research Fellowship Program. The deadline for Student applications is Wednesday, January 21, 2009. Completed Faculty recommendations must be received no later than Monday, February 2, 2009.
Inquiries regarding the 2009 Summer Cancer Research Fellowship Program may be directed to:
Betty Tarnowski, Ph.D.
Division of Cancer Biology, National Cancer Institute
tarnowsb (at) mail.nih.gov
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ICBP Data Integration Workshop
March 5 & 6, 2007
ICBP's Data Integration workshop will be held here at the Broad Institute. Attendance to this workshop is by invitation only. The workshop will include remarks from Jennifer Couch (NCI), Michael Reich (Broad Institute) and Dustin Potter (Ohio State University) as well as breakout sessions on use-cases and other areas.
Introduction to Analysis Methods For Microarry Data
October 18-20, 2006
This course is designed to work toward providing the participants with the computational and quantitative skills for the analysis of high-throughput gene expression microarray data, from which meaningful inferences about biological processes can be drawn.
Topics covered include:
- Microarray data preprocessing (normalization, scaling, filtering)
- Data visualization and dimensionality reduction techniques
- Differential analysis (gene marker selection) and multiple-hypothesis testing
- Class prediction and evaluation of a classifier's performance
- Class discovery (clustering) and biological annotation of the discovered classes
- Tutorial on GenePattern and hands-on exercises with real datasets
Workshop materials are intended for personal use and instructional purposes. They may not be included in separately published works (such as articles, books, or web sites).
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