Biosequence Analysis and the NCTU BioInfo Archive

Abstract

This talk consists of two parts, biosequence analysis and bioinformatics data archives. Computer-assisted methods are essential for biosequence analysis. The first part of the talk will specifically focus on DNA and RNA motif prediction. The important issues such as motif representations, objective functions and search strategies will be discussed. An application of these algorithms to gene expression analysis will be also covered. In the second part, we will introduce the NCTU BioInfo Archive. Most of the current bioinformatics literature lacks an explicit and clear description of the data used in experiments when introducing or evaluating computational tools. Without the exact data set that was fed into computational tools in experiments, any mistaken preparation of the data for later experiments may lead to discrepancy in conclusion. We set up a bioinformatics data archive to store the valuable data along with good documentations, so all researchers can not only access the same data, but also have the guide lines to follow in order to keep the consistency when using the data in experiments.