Biopython: Python tools for computational biology
ACM SIGBIO Newsletter
A Computational Biology Database Digest: Data, Data Analysis, and Data Management
Distributed and Parallel Databases
A new approach to protein structure and function analysis using semi-structured databases
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Life science research and data management—what can they give each other?
ACM SIGMOD Record
BIO-AJAX: an extensible framework for biological data cleaning
ACM SIGMOD Record
Bioinformatics—an introduction for computer scientists
ACM Computing Surveys (CSUR)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
DisProt: a database of protein disorder
Bioinformatics
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data
Data Mining and Knowledge Discovery
BioRegistry: a structured metadata repository for bioinformatic databases
CompLife'05 Proceedings of the First international conference on Computational Life Sciences
Attempt to design a bio-medical knowledge discovery system
International Journal of Bio-Inspired Computation
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A huge diversity of biological databases is available via the Internet, but many of these databases have been developed in an ad hoc manner rather than in accordance with any data management principles. In addition, in the area of disordered protein databases, many of the databases have not been made publicly available. This poses challenges to researchers, since reliable protein databases are required in order to test and measure the accuracy of protein structure prediction software. In this paper, we describe our work developing a disordered protein database using data from the protein secondary structure database DSSP-cont. In particular, we discuss the way in which we have addressed the issues of data cleaning, query processing and interoperability. This research is a pilot study in managing biological data.