Innovative Computational Methods for Transcriptomic Data Analysis: A Case Study in the Use of FPT for Practical Algorithm Design and Implementation

(i) developing powerful graph algorithms that exploit the innovative principles of fixed parameter tractability in order to generate distilled gene sets; (ii) producing scalable, high performance parallel and distributed implementations of these algorithms utilizing cutting-edge computing platforms and auxiliary resources; (iii) employing these implementations to identify gene sets suggestive of co-regulation; and (iv) performing sequence analysis and genomic data mining to examine, winnow and highlight the most promising gene sets for more detailed investigation.