Data mining is extracting data from a data warehouse. Data mining deals with the process of extracting patterns from data. Slowly data mining, now-a-days, is becoming an important tool to transform data into information. Study of the genomes of organisms is nothing but Genomics. It deals with the organized use of genome information to ply new biological knowledge. Proteomics is the study of proteins, especially their structures and functions.
Open Access
Journal of Data Mining in Genomics & Proteomics is an Open Access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data. There are many applications of data mining in real world.
Objectives
Research and development in genomics and proteomics reckon upon the analysis and construction of large amounts of data rendered by high-throughput techniques. To utilize data obtained from experimental and observational studies, scientists and researchers need to understand the analytical techniques and methods by data mining.
Editorial Manager
Journal of Data Mining in Genomics & Proteomics is using online manuscript submission, review and tracking systems of Editorial Manager® for quality and quick review processing. Review processing is performed by the editorial board members of Journal of Data Mining in Genomics & Proteomics or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript.
International Prospectives
The journal looks for high quality original research articles as well as review articles incorporating research on human genomics and proteomics or innovative methodological and bioinformatics/resource papers that enable the practice of personalized medicine by using various data mining methods.
Applying for a waiver or discount please e-mail(info@omicsonline.org) to the managing editor with proposed title and abstract.
