@article{MAKHILLJEAS20061112533,
    title = {Region Query System for Two-dimensional Electrophoresis Images Based on R-tree Index Structure},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {1},
    number = {1},
    pages = {66-68},
    year = {2006},
    issn = {1816-949x},
    doi = {jeasci.2006.66.68},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2006.66.68},
    author = {Kevin I-J Ho,Tung-Shou Chen,Chun-Wei Tsai and},
    keywords = {Region query system,electrophoresis images,r-tree index structure},
    abstract = {In Post-Genome Era, Functional Genomic becomes a major research field. Two-Dimensional Electrophoresis  (abbreviated  as  2-DE) technique is a central technique for analyzing proteins. The final process and goal of this technique is to compare different experimental data and construct a database for querying. In this article, we present a query system, based on the R-Tree index technique, to support the regional  searching  function.  With  the  regional  searching  ability, researchers may retrieve all the 2-DE images consisting  of  protein  molecules in a given region. The process of the proposed system consists of two phases, one for extracting the regional properties of proteins, the other for constructing the R-Tree.}
    }