BNFO 301 
Introduction to Bioinformatics
Course at a Glance: Collaborative Research
Spring 2012 

Collaborative? Why?
Collaboration arguably is what distinguishes us from other intelligent primates (Dean LG et al (2012) Science 335:12114-1118). Competition between groups for scientific spoils gets more press coverage, but it isn't as common as you might think. Instead, science is inherently collaborative, with each individual practitioner generally working on a piece of a puzzle that can be seen more clearly when the pieces are put together.

Collaborative? Collaborate with whom? How?
Each of you will be given your own piece to puzzle over, but research is much more enjoyable when you are in contact with your colleagues working on similar pieces as your own. Although we may at times pay visits to outside researchers also interested in the puzzle, your most immediate colloborators will be your colleagues in class who will be given related sequences and use related tools, particularly BioBIKE.

Puzzles... pieces...? What research are we going to to?
From centuries of research and a decade of genome sequencing projects, we know a great deal of the plants, animals, and bacteria that compose the biosphere. But lump all of those organisms together, and you still won't come close to the number of viruses on earth. And of this group, we know shockingly little. You and your collaborators will join a nationwide project to make some sense of the diversity of viruses on earth.

We will be focusing on mycobacteriophages, viruses that infect Mycobacteria, a large class of bacteria (you may have heard of some of the nastier sorts, those that cause tuberculosis or leprosy). The reason for this choice is that another VCU class (BNFO 251/252 Phage Discovery Lab) has spent considerable time isolating and purifying new mycobacteriophages. Our analytical efforts can complement theirs. They are most concerned this semester with making sure that the new DNA sequences are accurate and identifying genes within the sequences. We'll do some of that too, but our main effort will be towards a larger scale analysis, identifying functional classes of genes and characteristics across a range of phages, both new and old. Our work will become integrated into the work of others, work by many researchers and undergraduate classes throughout the United States.

You can see a bit about the project from the following links:

BioBIKE? What's that?
BioBIKE (Biological Integrated Knowledge Environment) is designed to provide biologists with no computer programming experience the opportunity to access and manipulate mass data creatively. It is also the programming language we will use in this course as a teaching tool and as the primary tool in the collaborative research projects.

Here's a reference that describes the goals and workings of BioBIKE:

Elhai J, Taton A, Massar JP, Myers JK, Travers M, Casey J, Slupesky M, Shrager J (2009). BioBIKE: A web-based, programmable, integrated biological knowledge base. Nucl Acids Res 37:W28-W32.