Bioinformatics

• ENG BF 501: Masters Project
  
• ENG BF 502: Masters Project
  
• ENG BF 527: Applications in Bioinformatics
  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 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
  
• 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
  
• ENG BF 820: Bioinfo Opps
  
• ENG BF 821: Bioinformatics Graduate Seminar
  TBA
• ENG BF 900: Res Bioinfo
  
• ENG BF 901: Thesis Bioinfo
  

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