An emerging technique for reducing the response time in plant miRNA identification.

The microRNA identification step is a part of a plant analytic pipeline. Researches on microRNA identification have been focused extensively on precision, recall, f-measure, and accuracy of computational techniques. However, as the database becomes larger, these computational techniques cannot reduce time complexity to handle the growth.

ChemEx: information extraction system for chemical data curation.

Background: Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure image recognition and text mining together.

C-mii: a tool for plant miRNA and target identification.

Background: MicroRNAs (miRNAs) have been known to play an important role in several biological processes in both animals and plants. Although several tools for miRNA and target identification are available, the number of tools tailored towards plants is limited, and those that are available have specific functionality, lack graphical user interfaces, and restrict the number of input sequences. Large-scale computational identifications of miRNAs and/or targets of several plants have been also reported.

d-Omix: a mixer of generic protein domain analysis tools.

Domain combination provides important clues to the roles of protein domains in protein function, interaction and evolution. We have developed a web server d-Omix (a Mixer of Protein Domain Analysis Tools) aiming as a unified platform to analyze, compare and visualize protein data sets in various aspects of protein domain combinations. With InterProScan files for protein sets of interest provided by users, the server incorporates four services for domain analyses.