Computational Biology

Computational biology is the application of computer science, statistics, and mathematics to problems in biology. Computational biology spans a wide range of fields within biology, including genomics/genetics, biophysics, cell biology, biochemistry, and evolution. Likewise, it makes use of tools and techniques from many different quantitative fields, including algorithm design, machine learning, Bayesian and frequentist statistics, and statistical physics. International of Biomedical Data Mining publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics, theory and practice of either biology-specific or chemical-biology-specific modelling, and structural biology of nucleic acids and proteins are included. OMICS Group Journals encourages original and well researched articles for publication. With the help of a strong 50,000+ experts as editorial board members and reviewers, OMICS Group journals uphold the standard review process. We have more than 50,000+ editorial board members and more than 15 million readers. It has more than 700+ peer-reviewed journals and organizes more than 3000+ International Scientific Conferences.