Inferences of Transcriptional and Translational Regulatory Modules for Systems Biology: A Review

Suhas A. Bhyratae
2018 International Journal for Research in Applied Science and Engineering Technology  
Computational molecular biology is the superset of Bioinformatics. Areas such as genomics, mapping, sequencing, determination of sequence and structure are applied by computer and data science classically. Computational biology is the application of computational tools and techniques to molecular biology. It is a multidisciplinary area of study that combines biology, computer science and statistics. There are different types of problems in computational biology such as how to recognize genes in
more » ... DNA sequences that contain regulatory information, to determine interaction and regulation of all genes, to predict the structure of proteins, to forecast the functions of newly discovered proteins, to cluster and classify proteins into families and to align similar proteins etc. computational biology driven by two factors, 1. The recent explosion in the amount of available biological data, 2. Commercial incentive to exploit the available biological data for drug discovery and other developments. The algorithms are computationally expensive and computational patterns range from regular to very irregular structured patterns. This outlines computational issues related to parallelism i.e., parallel programming approaches which involves increasing efficiency and creates accurate outcomes.
doi:10.22214/ijraset.2018.7076 fatcat:w4i2ahcx2fay7ebatpu2hyab3m