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Research & Reviews : Journal of Computational Biology

ISSN: 2319-3433

Publisher

Focus and Scope

About the Journal

Research & Reviews: Journal of Computational Biology [2319-3433(e)] is a peer-reviewed hybrid open-access journal launched in 2012 focused on the publication of current research work carried out under computational Biology. This journal covers all major fields of applications in Computational Biology.

Focus and Scope

  • Bioinformatics: Genome Sequence Data, Gene Variation Data, Gene Expression Data, Single-Cell Data, Proteomics Data, Metabolomics Data, Epigenetics Data, mapping of genomes, structure genomes, function genomes, evolution genomes, mapping of genomes, Proteomics, Metagenomics, Transcriptomics, SSS (Sequence Search Services), MSA (Multiple Sequence Alignment), and BSA (Biological Sequence Analysis), genomics, cheminformatics, computational, e-science, biomedical, bioinformatics, neuroinformatics, bionanotechnology, and molecular-biology.

  • Computational and Statistical Genetics- genome evolution, DNA sequence, RNA sequence, E2F, MicroRNA, Long Non-Coding RNA, Nested Gene, Bioinformatics, Human Immunodeficiency Virus, post-genomic, genome sequences, statistical methods, biostatistics, data science.

  • Genomics: Diagnostic testing, Clinical predictive testing, Pharmacogenomic testing, Tumour testing, SNP (Single Nucleotide Polymorphism), Functional genomics, Comparative genomics, Genetic Variability, genetics, genetic science, structural genomics, genomic sequence, genes, genetic data.

  • Proteomics: study of proteomes, 3-D protein, structure of proteins, function of proteins, expression proteomics, functional proteomics, structural proteomics, sequence proteomics, interaction proteomics, proteomics research, Blast, ChemCalc, Delta Mass, NCBI, mass spectrometry, biomarker.

  • Mathematical Biology: calculus, probability theory, statistics, linear algebra, graph theory, combinatorics, algebraic geometry, topology, dynamical systems, differential equations, coding theory, mathematical models, biomathematics, mathematical, theoretical biology, mathematician.

  • Medical Informatics: computer science, medical computing, biomedical computing, medical computer science, computer medicine, medical electronic data processing, medical automatic data processing, medical information processing, medical information science, medical software engineering, medical computer, Clinical informatics, cybernetics, health informatics.

  • Biomarker Discovery: Molecular, histologic, radiographic, physiologic characteristics, metabolic studies, x-ray, genetic tests, blood tests, CAT scans, body fluids, Data Mining, Biomedical Research, Biomedical Informatics, Biomedical Engineering, extraction of proteins, separation of proteins, identification of proteins, verification of proteins.

  • Computational Biomodelling: computer simulations, biological systems, sequential models, functional models, concurrent models, mathematical modeling, protein folding.

  • Drug Designing: Structure-based drug design (SBDD) and Ligand-based drug design (LBDD), assays for therapeutic efficacy, molecular modeling, quantum mechanics, drug-likeness properties, QSAR, and pharmacokinetic, dynamics.

  • Biological Algorithms: Generational GA (GGA), Steady-State (µ + 1)-GA (SSGA), Steady-Generational (µ, µ)-GA (SGGA), and (µ + µ)-GA, Neural networks, Image processing, Data clustering and mining, engineering design, Initial population, Fitness function, Selection, Crossover, Mutation.