Goal: To learn more about solving the problems related to Computational Biology.
Plan: Find Biologists with interesting problems and collaborate with Computer science background.
I am a Ph.D. student of Computer Science at Stony Brook University studying Computational Biology. Usually, works in problem-related to devising algorithms for scalable RNA sequence analysis, statistical methods of resampling methods for measuring uncertainty and differential transcript analysis or to put it simple variation detections in two set of data.
I have some direct experience with this kind of work. I can give pointers and am happy to chat about it. At the moment I won't have time to participate in actual analysis because of work. My background is in genetics (medical and evolutionary). My MSc thesis project last summer focused on RNAseq data analysis. Data had come from high throughput RNAseq of pregnant/nonpregnant SHRSP/WKY rat ovarian vasculature. This isolated the large RNA component. I used Galaxy software to design a pipeline that could identify differentially expressed genes and transcripts.