Master of Science / Department of Computing and Information Sciences / Doina Caragea / This study is a comparison and exploration of next generation sequencing algorithms and tools. A simulation study was done to compare the performance of edgeR, DESeq, and baySeq in detecting differential gene expression. The methods were compared in context of a balanced pairwise design. The simulation results suggest that the methods are compa-
rable under the conditions simulated. The study also explored real data comprised of one
biological replicate between two treatments. Cufflinks and CummerRBund were used to
detect differential gene expression. The visualization results from the real data suggest no
differential expression is present.
| Identifer | oai:union.ndltd.org:KSU/oai:krex.k-state.edu:2097/17637 |
| Date | January 1900 |
| Creators | Yates, Heath Landon |
| Publisher | Kansas State University |
| Source Sets | K-State Research Exchange |
| Language | English |
| Detected Language | English |
| Type | Report |
Page generated in 0.0014 seconds