Bioinformatics

  • ENG BF 527: Applications in Bioinformatics
    Undergraduate Prerequisites: See course description
    The field of bioinformatics is concerned with the management and analysis of large biological datasets (such as the human genome) for the purpose of improving our understanding of complex living systems. This course introduces graduate students and upper-level undergraduate students to the core problems in bioinformatics, along with the databases and tools that have been developed to study them. Computer labs emphasize the acquisition of practical bioinformatics skills for use in students research. Familiarity with basic molecular biology is a prerequisite; no prior programming knowledge is assumed. Specific topics will include the analysis of biological sequences, structures, and networks. E-mail questions to the instructors, Joshua Campbell (camp@bu.edu) and Jignesh Parikh (jparikh@bu.edu).
  • ENG BF 541: Bioinformatics Internship
    Internships provide the bridge between classroom/laboratory study and ?real-world? employment. Each student must complete an internship with a minimum of 400 hours of on-the-job experience (e.g., 10 weeks full-time work in the summer). The format is very flexible, and part-time internships running concurrently with classes or employment are acceptable. Students must consult with their academic advisor to assess the suitability of a proposed internship.
  • ENG BF 571: Dynamics and Evolution of Biological Networks
    Graduate Prerequisites: CAS MA 226 and CAS MA 242; EK102 can be used in lieu of the MA242 pre-req. Familiarity with differential equations and linear algebra at equivalent levels and the consent of instructor can be used in lieu of both pre-reqs.
    The course focuses on mathematical models for exploring the organization, dynamics, and evolution of biochemical and genetic networks. Topics include: introductions to metabolic and genetic networks, deterministic and stochastic kinetics of biochemical pathways; genome-scale models of metabolic reaction fluxes; models of regulatory networks; modular architecture of biological networks.
  • ENG BF 690: Bioinformatics Challenge Project
    Project course for first year Bioinformatics graduate students. Open-ended problems will involve bioinformatics as a key element, typically requiring the use of large data sets and computational analysis to make predictions about molecular function, molecular interactions, regulation, etc. Projects will be proposed by the Bioinformatics program faculty and selected by student in teams of three. The end result will be a set of predictions, some of which can be validated retrospectively using data available through online sources and some of which will require experimental validation. During the last 2 months of the academic year, teams will design feasible validation experiments in consultation with the experimental faculty.
  • ENG BF 752: LAW&Eth Bio Sci
    This course description is currently under construction.
  • ENG BF 768: Biological Database Analysis
    Describes relational data models and database management systems. Teaches the theories and techniques of constructing relational databases with emphasis on those aspects needed for various biological data. Introduces the relational database query language SQL. Describes methods for ensuring data consistency and data retrieval efficiency. Object-oriented programming is introduced primarily as an implementation aid for constructing, loading, and accessing databases. Utilizes web-based programming tools to implement user access to databases. Emphasis will be on solving problems associated with large and complex data sets. Course includes a final project implementing a database using real data from a local biology/medical school lab.
  • ENG BF 778: Physical Chemistry for Systems Biology
    This course introduces students to quantitative modeling in bioinformatics and systems biology. We begin with basic principles of statistical thermodynamics, chemical kinetics, with selected applications in biomolecular systems. Next we describe molecular driving forces in biology, and computation with biomolecular structures. Finally we discuss quantitative models of biomolecular networks, and design principles of biological circuits.
  • ENG BF 810: Phd Lab Rotat'N
    This course description is currently under construction.
  • ENG BF 821: Bioinfo Gradsem
    This course description is currently under construction.