Abstract
With the explosive growth of biological data, the development of new means of data storage was needed. More and more often biological information is no longer published in the conventional way via a publication in a scientific journal, but only deposited into a database. In the last two decades these databases have become essential tools for researchers in biological sciences. Biological databases can be classified according to the type of information they contain. There are basically three types of sequence-related databases (nucleic acid sequences, protein sequences and protein tertiary structures) as well as various specialized data collections. It is important to provide the users of biomolecular databases with a degree of integration between these databases as by nature all of these databases are connected in a scientific sense and each one of them is an important piece to biological complexity. In this review we will highlight our effort in connecting biological information as demonstrated in the SWISS-PROT protein database.
Keywords
Affiliated Institutions
Related Publications
The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003
The SWISS-PROT protein knowledgebase (http://www.expasy.org/sprot/ and http://www.ebi.ac.uk/swissprot/) connects amino acid sequences with the current knowledge in the Life Scie...
NetAffx: Affymetrix probesets and annotations
NetAffx (http://www.affymetrix.com) details and annotates probesets on Affymetrix GeneChip microarrays. These annotations include (i) static information specific to the probeset...
The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data
The Catalytic Site Atlas (CSA) provides catalytic residue annotation for enzymes in the Protein Data Bank. It is available online at http://www.ebi.ac.uk/thornton-srv/databases/...
The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling
Abstract Motivation: Homology models of proteins are of great interest for planning and analysing biological experiments when no experimental three-dimensional structures are av...
Toward understanding the origin and evolution of cellular organisms
Abstract In this era of high‐throughput biology, bioinformatics has become a major discipline for making sense out of large‐scale datasets. Bioinformatics is usually considered ...
Publication Info
- Year
- 2001
- Type
- review
- Volume
- 3
- Issue
- 3
- Pages
- 47-55
- Citations
- 212
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.21775/cimb.003.047