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Bioinformatics and Genomics

Bioinformatics and Genomics

One of the options available in Penn State's Integrative Biosciences (IBIOS) graduate program

Application Deadline: December 31

IBIOS program overview

The Integrative Biosciences (IBIOS) program is designed to expose students to a broad range of concepts and technologies in the life sciences.

Students in the program pursue research in an option of choice. They take some courses related to that option, and other courses in skills and concepts that cross-cut disciplines (such as scientific ethics).

Students may be able to undertake an internship, to gain experience in a professional work environment. The timing and length of the internship will depend on the curriculum and specifications of the program option.

Bioinformatics and Genomics option overview

The Bioinformatics and Genomics (BG) option integrates three focal areas of research:

  • Computational genomics
  • Evolutionary genomics
  • Functional genomics

Students receive training and experience in all three areas. Instruction is problem-based, starting with exposure to bioinformatic and genomic tools, and moving on to in-depth analysis of genomic and proteomic data. Laboratory rotations provide experience, usually in up to 3 labs before the student chooses a research project and co-advisors from among the program faculty.

More about the degree requirements and curriculum.

Financial Aid

Integrative Biosciences graduate students are supported for 18 months by a Huck Institutes fellowship stipend which includes one semester as a Teaching Assistant. During year two, students are appointed as research assistants to faculty advisors. The tuition and stipend is then paid for through the student's faculty advisor, for the remaining years of the five-year PhD program.

Computation, Bioinformatics, and Statistics (CBIOS) Training Program

Students are also eligible to apply for a 2-year fellowship to participate in the NIH-funded CBIOS Training Program. More information about the training faculty, curriculum, and application process is available on the CBIOS Training Program website.

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Professor, Division of Biostatistics, Director, Center for Statistical Genetics
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