I became interested in my project mainly
because of its multidisciplinary nature. By involving Biology and Computer
Science, I noticed that computer science is a very broad field and I came to
love Computer Science much more. Also I get to use the skills I learned in
class (Java) to complete a project that hopefully will be useful for biologists
who collect fungal DNA samples. Lastly, the interest my professor shows for his
area of study is contagious and makes me feel that my work would make an impact
in the computer science field.
My long-term goal is to gain more practical
experience in computer science that I can bring to the workplace when I
graduate. This project relates to my goal because I now gear my finished
product towards a larger consumer base versus for a professor or TA. There is a
clear larger impact of my work in this project versus a project in a class. My
programming work in this project also caters my skills in a disciplined way to
be appealing to future employers.
On a weekly basis, I make incremental progress
on my project. I update my professor every week on my progress, however small
it may be sometimes, so I get immediate feedback especially if I need to change
the direction of my project because I am trying to create an algorithm to
accurately cluster DNA sequences based on similarity. An algorithm could change
at any point if efficiency becomes a problem because the purpose of my project
is to give a quick, easy solution to biologists who want to indentify the
composition of fungal metagenomic data. I try to make progress in the right
direction every week and with guidance from my mentor, I get a step closer to
my final product.
This week I made progress trying to analyze how
efficient my algorithm is. I discovered that as I increase the threshold
(percent similarity between sequences), I get fewer clusters and vice versa is
also true. In this project not only do I program but also I get to utilize my
analytical skills to make decisions on how efficient my project is. I think
having authority over the results of my project is also satisfying because my
interpretation of similarity is different from others.