University of California, Berkeley
BioE 142: Programming & Algorithm Design for Computational Biology & Genomics Applications
Fall 2002--Professor Adam Arkin
Project by: Diana Wong, Kelly Han, and Tyler Hillman
The nature of the scientific mind has always been to apply a logical explanation to every phenomenon. The case of genes and their mechanisms is no different from any other mystery the scientific sleuth tries to solve. The genomic codebook is quickly being deciphered, but many of the messages it contains remain enigmatic. As technology improves, the genomes of various organisms are being sequenced at a phenomenal rate. In order to make this overwhelming amount of data useful, people from once-unrelated fields consisting of biologists, mathematicians, statisticians, and computer scientists have come together to locate the genes that make life possible. There have been many approaches taken to accomplish such a daunting task of gene finding. One necessary step in this process includes being able to identify splice sites accurately. Here, we have developed a program that analyzes an inputted sequence query and reports possible splice sites, with a ranking number of its likelihood. The user can then examine a color-coded, graphical representation of the sequence along with those annotated possible splice sites. Trained on the Drosophila melanogaster genome, this program can also be extrapolated to other annotated genomes.
Splice Site Scholar Download: You know you want it.
SSS Design: Design explanations.
SSS Installation Instructions:
SSS Documentation: Source code, classes, API's
SSS Tutorial: Once installed, learn how to use SSS!
SSS Experiment: Part II, an experiment
SSS Presentation: PowerPoint file of presentation
(Aren't moving gifs so annoying?!)