MSK Computational Biology Summer Program

MSK 计算生物学暑期项目

• 批准号: 10623296
• 负责人: Michael F. Berger
• 金额: $ 22.01万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10623296
• 关键词: Address; Awareness; Basic Science; Big Data; Biological; Biology; Biomedical Research; Cancer Biology; Caring; Clinical Research; Collaborations; Computational Biology; Computer Interface; Computers; Data; Dedications; Development; Diagnosis; Diagnostic; Discipline; Education; Elements; Ensure; Epigenetic Process; Exposure to; Faculty; Fostering; Future; Genome; Genomics; Goals; Institution; International; Internships; Investments; Journals; Knowledge; Laboratories; Laboratory Research; Learning; Malignant Neoplasms; Mathematics; Memorial Sloan-Kettering Cancer Center; Mentors; Mentorship; Methods; Needles; Oncology; Participant; Patients; Perception; Postdoctoral Fellow; Prevention; Research; Research Personnel; Research Project Grants; Series; Shapes; Students; Therapeutic; Training; Work; anticancer research; cancer education; cancer therapy; career; computational pipelines; computer science; course development; design; education research; experience; graduate student; innovation; insight; interest; lectures; meetings; methylation pattern; next generation; novel; personalized genomics; personalized medicine; posters; programs; recruit; repaired; skills; student training; summer internship; summer program; symposium; undergraduate student

R25 MSK Computational Biology Summer Program: Project Summary / Abstract The Memorial Sloan Kettering Cancer Center (MSK) Computational Biology Summer Program (CBSP) is a cancer education research experience that will enable 15 computer science and applied math undergraduates per year to apply their computer science skills to cancer-based laboratory and clinical research under the mentorship of MSK faculty. Program participants will work with mentors in laboratories centrally involved in basic and clinical research, with a computational element to their work. CBSP trainees will also attend educational lectures, journal clubs and a wide range of seminars, including several focused on professional development. They will learn how to blend these lessons to present their work in a capstone showcase of their work at the conclusion of the 10-week internship. We anticipate that for some of the CSBP participants, this summer experience will be their first exposure to cancer biology, biomedical concepts, and laboratory research. By providing them with a concentrated and intense exposure to cancer biology, we will ensure that they will have the proper understanding to apply their computational skills to help develop novel methods and mine data for insights toward mechanistic and therapeutic advantages. A key goal of this program is to increase the students' awareness of and interest in careers as computational biologists. Through strategic recruitment of computer science and applied math undergraduates and exposure to carefully selected mentors and research topics, the CBSP will provide a path toward development of future computational biologists capable of informing the vanguard of cancer biology. The CBSP will enhance the students' knowledge about cancer, genomics, and academic biomedical research, and will foster interest in careers in oncologic fields by pursuing the following Specific Aims: 1. Engage computer science and applied math undergraduate students with little previous exposure to biology in innovative scientific research projects that address cause, diagnosis, prevention, and treatment of cancer 2. Provide CBSP students with additional mentorship to promote their professional development within oncology-focused computational biology in order to foster the trainees' interest and engagement in academic cancer research Through the exposure that the CBSP will enable, we expect to shape the undergraduates' perception of computational biology applied to cancer research such that many will pursue graduate studies in this field.

R25 MSK计算生物学暑期项目：项目摘要/摘要

项目成果

Peripheral blood values as predictors of autoimmune status in oral cavity squamous cell carcinoma.

• DOI: 10.1016/j.tranon.2021.101220
• 发表时间: 2021-12
• 期刊: Translational oncology
• 影响因子: 5
• 作者: Pillai A;Valero C;Navas K;Morris Q;Patel SG
• 通讯作者: Patel SG

Regional mutational signature activities in cancer genomes.

癌症基因组中的区域突变签名活性。

• DOI: 10.1371/journal.pcbi.1010733
• 发表时间: 2022-12
• 期刊: PLoS computational biology
• 影响因子: 4.3