Bioinformatics is as a bridge between life science and computer science: computer algorithms are needed to face complexity of biological processes. Bioinformatics applications manage complex biological data accessing distributed heterogeneous databases, and require large computing power. After introducing bioinformatics requirements, we present the architecture of PROTEUS, a Grid-based Problem ...

Bioinformatics research depends on high-quality databases to provide accurate results. In silico experiments, correctly performed, may prospect novel discoveries and elucidates pathways for biological experiments through data analysis in large scale. However, most biological databases have presented mistakes, such as data incorrectly classified or incomplete information. Also, sometimes, data m...

To bridge the gap between the rising information needs of biological and medical researchers and the rapidly growing number of online bioinformatics resources, we have created the Online Bioinformatics Resources Collection (OBRC) at the Health Sciences Library System (HSLS) at the University of Pittsburgh. The OBRC, containing 1542 major online bioinformatics databases and software tools, was c...

This article describes the nature of bioinformatics and how the various components of bioinformatics relate to intellectual property law. The article begins by "decomposing" bioinformatics into three categories: (A) biological sequences such as DNA, RNA, and protein sequences; (B) databases in which these sequences are organized; and (C) software and hardware designed to access, organize, and a...

This review provides an overview of bioinformatics from the user’s point of view. Bioinformatics, defined as the application of computers, databases, and computational methods to the management of biologic information, is essential for almost every aspect of data management in modern biology. The rapid accumulation of genomic sequence information together with the wide availability of new techn...

The immensely popular fields of cancer research and bioinformatics overlap in many different areas, e.g. large data repositories that allow for users to analyze data from many experiments (data handling, databases), pattern mining, microarray data analysis, and interpretation of proteomics data. There are many newly available resources in these areas that may be unfamiliar to most cancer resear...

Recent advances involving high-throughput techniques for data generation and analysis have made familiarity with basic bioinformatics concepts and programs a necessity in the biological sciences. Undergraduate students increasingly need training in methods related to finding and retrieving information stored in vast databases. The rapid rise of bioinformatics as a new discipline has challenged ...

Recently, high-throughput technologies for comprehensive genomic, transcriptomic and proteomic analyses have been developed. Large-scale ‘omics data’ obtained from such experimental methods have rapidly accumulated and been stored into web databases. In addition, the number of web databases for molecular biology has rapidly increased, since most new projects construct and maintain new web datab...