The emerging field of bioinformatics is an interdisciplinary research area that teaches how to analyze large-scale datasets and apply that analysis to solve problems in various professional, medical, and scholarly fields.
Bachelor of Science in Bioinformatics
The Bachelor of Science in Bioinformatics will train students in basic concepts and skills to perform computational analysis of biological data - including the human genome. Students will be able to participate in research with department faculty and other faculty in departments across campus. Our department core and adjunct faculty teach many of the informatics (INFO) classes offered each semester.
Learn more about the career opportunities available for bioinformatics majors here.
For more information about the bioinformatics program, contact program co-director Elliot Lefkowitz.
Admissions Criteria
Due to the interdisciplinary nature of the bioinformatics program, our admission criteria are higher than those for either biology or computer science.
Learn more about Admissions Criteria
Plan of Study
The plan of study for this program includes courses in biology, chemistry, computer sciences, mathematics, informatics, and core curriculum courses.
Click here for the Plan of Study
Undergraduate Informatics Courses
Click here for course listing of Informatics courses offered at the undergraduate level.
Below is a listing of classes offered during the upcoming semesters.
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Fall 2024
INFO 302: Bioinformatics-I
CRN: 62024
Min CR: 3
Schedule Type: Lecture
Instructor: Jin ChenPrerequisites
Undergraduate level BY 210 Minimum Grade of C and Undergraduate level CS 103 Minimum Grade of C and Undergraduate level PUH 250 Minimum Grade of C and Undergraduate level INFO 101 Minimum Grade of C
Description
Introduction to bioinformatics and methodologies, with emphasis on concepts and application of informatics tools to molecular biology. Focus on experimental models to collect data from genomics, transcriptomics and proteomics, applied statistics when it relates to experimental design, construction of bioinformatics tools into pipelines, representing biological data, biological sequence analysis, gene annotation, basic programming, basic web/data analysis programming, sharing of biological information, social/legal aspects of open science.
INFO 497: Research in Bioinformatics
CRN: 62796
Min CR: 0
Max CR: 4
Schedule Type: Undergraduate Research
Instructor: Elliot J LefkowitzPrerequisites
Undergraduate level PSDO 200 Minimum Grade of C and Undergraduate level CS 103 Minimum Grade of C
Description
Research in Bioinformatics for non-honors students under the supervision of a faculty sponsor.
INFO 498: Honors Bioinformatics Research
CRN: 62797
Min CR: 0
Max CR: 4
Schedule Type: Undergraduate Research
Instructor: Elliot J LefkowitzPrerequisites
Undergraduate level PSDO 200 Minimum Grade of C and Undergraduate level CS 103 Minimum Grade of C
Description
Honors Research is an innovative course that will provide undergraduate students with an opportunity to engage in rigorous scholarly practice of the core bioinformatics skills necessary for performing independent research. Program faculty will closely work with students to identify a project that explores an area of interest for the student based on the integration of prior learning. Students will be performing bioinformatics analyses on laboratory data or publicly available large-scale data, incorporate quality control and develop software pipelines.
INFO 499: Bioinformatics Capstone
CRN: 63543
Min CR: 3
Schedule Type: Lab Capstone Course
Instructor: Elliot J LefkowitzPrerequisites
Undergraduate level INFO 403 Minimum Grade of C and Undergraduate level INFO 404 Minimum Grade of C and Undergraduate level PSDO 200 Minimum Grade of C
Description
With mentoring and guidance from program faculty, the student will identify a bioinformatics-oriented research project that will form the basis of their capstone project. This research project may be a continuation of an existing research project or represent an entirely new project. The capstone project is expected to culminate in a public presentation of the project as well as a formal scholarly work reflecting integration of the scientific knowledge gained through the project. The scholarly work may take the form or a written manuscript or semester report.