Sequence database

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In the field of bioinformatics, a sequence database is a type of biological database that is composed of a large collection of computerized ("digital") nucleic acid sequences, protein sequences, or other polymer sequences stored on a computer. The UniProt database is an example of a protein sequence database. As of 2013 it contained over 40 million sequences and is growing at an exponential rate. Historically sequences were published in paper form, but as the number of sequences grew this storage method became unsustainable.

Search issues[edit]

Sequence databases can be searched using a variety of methods. The most common usage is probably searching for sequences similar to a certain target protein or gene whose sequence is already known to the user. The BLAST program is a popular method of this type.

Current issues[edit]

Records in sequence databases are deposited from a wide range of sources, from individual researchers to large genome sequencing centers. As a result, the sequences themselves, and especially the biological annotations attached to these sequences, may vary in quality. There is much redundancy, as multiple labs may submit numerous sequences that are identical, or nearly identical, to others in the databases.[1]

Many annotations of the sequences are based not on laboratory experiments, but on the results of sequence similarity searches for previously-annotated sequences. Once a sequence has been annotated based on similarity to others, and itself deposited in the database, it can also become the basis for future annotations. This can lead to a transitive annotation problem because there may be several such annotation transfers by sequence similarity between a particular database record and actual wet lab experimental information.[2] Therefore, care must be taken when interpreting the annotation data from sequence databases.

References[edit]

  1. ^ Sikic, K.; Carugo, O. (2010). "Protein sequence redundancy reduction: comparison of various method". Bioinformation 5 (6): 234–9. doi:10.6026/97320630005234. PMID 21364823. 
  2. ^ Iliopoulos, I.; Tsoka, S.; Andrade, MA.; Enright, AJ.; Carroll, M.; Poullet, P.; Promponas, V.; Liakopoulos, T. et al. (Apr 2003). "Evaluation of annotation strategies using an entire genome sequence". Bioinformatics 19 (6): 717–26. doi:10.1093/bioinformatics/btg077. PMID 12691983. 

See also[edit]

External links[edit]

Major bioinformatics databases[edit]