An Extensive Repot on the Efficiency of AIS-INMACA (A Novel Integrated MACA based Clonal Classifier for Protein Coding and Promoter Region Prediction)
This work is incremental, providing an efficiency report on an existing tool for researchers in bioinformatics using cellular automata.
The paper evaluates the efficiency of AIS-INMACA, a novel integrated MACA-based clonal classifier, for solving bioinformatics problems such as protein coding and promoter region prediction, reporting reduced time in these tasks.
This paper exclusively reports the efficiency of AIS-INMACA. AIS-INMACA has created good impact on solving major problems in bioinformatics like protein region identification and promoter region prediction with less time (Pokkuluri Kiran Sree, 2014). This AIS-INMACA is now came with several variations (Pokkuluri Kiran Sree, 2014) towards projecting it as a tool in bioinformatics for solving many problems in bioinformatics. So this paper will be very much useful for so many researchers who are working in the domain of bioinformatics with cellular automata.