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Bachelor of Science

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Reccomended Electives

Master of Bioinformatics, (PSM)

PhD in Integrative Life Sciences

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Reccomended Electives
(min. 12 credits)

BIOS 567 - Statistical Methods for Microarray Data (3CR): Prerequisites: BIOS 524 and 546; and BIOS 544 or 554; or permission of instructor. Provides a detailed overview of all aspects pertaining to the preprocessing of microarray data including image analysis, normalization techniques, gene expression summaries, quality control assessments and gene filtering methods. Presents strategies for class discovery and feature selection. Includes hands-on experience using statistical software for processing and analyzing microarray data.

BNFO/BIOL - 541 Laboratory in Molecular Genetics (2CR): Pre- or corequisite: Molecular genetics. Experiments are designed to apply advanced techniques and concepts of molecular biology and genetics using prokaryotic and eukaryotic systems. Emphasis will be placed on experimental design, integrating results throughout the semester, making use of relevant published literature, scientific writing and providing hands-on experience with advanced equipment and methodologies.

BNFO 591 - Special Topics in Bioinformatics variable (1-4CR): Adviser's approval is required for counting each special topics course toward meeting specific requirements of the master's program. An introductory, detailed study of a selected topic in bioinformatics unavailable as an existing VCU course. If multiple topics are offered, students may elect to take more than one. Graded as "S," "U" or "F." Students will find specific topics and prerequisites for each special topics course listed in the Schedule of Classes.

BNFO 592 - Independent Study*: Determination of the amount of credit and permission of instructor, adviser and curriculum committee must be obtained prior to registration for this course. Designed to provide an opportunity for independent study at an introductory graduate level in a bioinformatics-related area of interest and significance to the student outside what is available through the courses and other options in the Bioinformatics Program. Graded as "S," "U" or "F."

BNFO 620 - Bioinformatics Practicum (3CR): Practical application of bioinformatics to genomic, proteomic and pharmacogenomic analyses. Students will work in small groups to plan, develop and execute a project designed to solve practical challenges in the realm of bioinformatics. Proficiency in various aspects of bioinformatics will be developed.

BNFO 621 - Business and Entrepreneurship for Life Scientists (3CR): Consists of presentations on the core concepts of business, including intellectual property, patents and patent law, entrepreneurship, launching a "start up," raising capital, financial management, marketing, managerial accounting, planning, and project management. Course includes lectures and discussions on core concepts of business and their real-world application. Students will develop a business plan and/or a plan to manage a research project. Business case studies and team projects with presentations are required. Focus is on the biotechnology and pharmaceutical industries.

BNFO 637 - Networks Biology (3CR): Prerequisite: prior course work in cell biology or molecular biology, or permission of instructor. Covers in detail networks as a basic tool for the systems biology approach to biology and medicine, particularly on the molecular level. Qualitative and quantitative aspects of biological systems and processes will be identified and analyzed. The course focuses on the biochemical networks formed in the cell from genes, proteins and metabolites. Network structure and dynamics will be characterized proceeding from graph theory and other mathematical methods. Essential part of the course is the practical work with basic software for building, manipulation and analysis of biological networks, as well as for identifying structural motifs and modules, and comparative network organisms (human, drosphila, yeast, C. elegans).

BNFO/MICR 653 - Advanced Molecular Genetics: Bioinformatics (3CR): Prerequisites: Cell/molecular biology or permission of instructor. An advanced course on contemporary bioinformatics. Topics covered include the principles and practice of DNA, RNA and protein sequence analysis, computational chemistry and molecular modeling, expression array analysis and pharmacogenomics. The course includes lectures, reading, computer lab, homework problem sets and projects.

BNFO 691 - Special Topics in Bioinformatics (Genomics & Phylogenetics ) (3CR)

BNFO 692 - Independent Study*: Determination of the amount of credit and permission of the instructor, adviser and curriculum committee must be obtained prior to registration for this course. A course designed to provide an opportunity for independent study in a bioinformatics-related area of interest and significance to the student outside what is available through the courses and other options in the Bioinformatics Program.

CLSE 562 - Advanced Systems Biology Engineering (3CR): Prerequisites: BIOL 218, ENGR 115, EGRC 302. The system-level properties of biology will be surveyed to understand how DNA leads to cellular behavior through complex molecular interactions. Theoretical and experimental concepts associated with high-throughput data (genomics, transcriptomics, metabolomics, fluxomics, proteomics), cellular regulation and computational modeling will be introduced. Bioinformatic analysis, integration of data and current challenges are discussed.

CMSC 501 - Advanced Algorithms (3CR): Prerequisites: CMSC 401 or equivalent; graduate standing or acceptance into acclerated B.S. to M.S. program in computer science. Advanced graph algorithms, advanced data structures, applied numerical algorithms, optimization methods, approximation methods for hard graph and string problems, and computational geometry algorithms.

MATH 580-581 - Methods of Applied Mathematics for the Life Sciences I-II (3CR): Prerequisites: MATH 301 and 307, or permission of instructor. Both courses emphasize mathematical techniqes applied to biological and medical problems. The first course focuses on difference equations and ordinary differential equations; the second course focuses on partial difference equations and partial differential equations.

PHYS 591 - Topics in Physics (Modeling, Computing and Biocomplexity) (3CR)

*credits vary