title: CASCAD: a database of annotated candidate single nucleotide polymorphisms associated with expressed sequences.
abstract: BACKGROUND
  With the recent progress made in large-scale genome sequencing projects a vast amount of novel data is becoming available. A comparative sequence analysis, exploiting sequence information from various resources, can be used to uncover hidden information, such as genetic variation. Although there are enormous amounts of SNPs for a wide variety of organisms submitted to NCBI dbSNP and annotated in most genome assembly viewers like Ensembl and the UCSC Genome Browser, these platforms do not easily allow for extensive annotation and incorporation of experimental data supporting the polymorphism. However, such information is very important for selecting the most promising and useful candidate polymorphisms for use in experimental setups.
  
  
  METHODS
  The CASCAD database is designed for presentation and query of candidate SNPs that are retrieved by in silico mining of high-throughput sequencing data. Currently, the database provides collections of laboratory rat (Rattus norvegicus) and zebrafish (Danio rerio) candidate SNPs. The database stores detailed information about raw data supporting the candidate, extensive annotation and links to external databases (e.g. GenBank, Ensembl, UniGene, and LocusLink), verification information, and predictions of a potential effect for non-synonymous polymorphisms in coding regions. The CASCAD website allows search based on an arbitrary combination of 27 different parameters related to characteristics like candidate SNP quality, genomic localization, and sequence data source or strain. In addition, the database can be queried with any custom nucleotide sequences of interest. The interface is crosslinked to other public databases and tightly coupled with primer design and local genome assembly interfaces in order to facilitate experimental verification of candidates.
  
  
  CONCLUSIONS
  The CASCAD database discloses detailed information on rat and zebrafish candidate SNPs, including the raw data underlying its discovery. An advanced web-based search interface http://cascad.niob.knaw.nl allows universal access to the database content and allows various queries supporting many types of research utilizing single nucleotide polymorphisms.
authors.affiliation: Hubrecht Laboratory, Netherlands Institute for Developmental Biology, Uppsalalaan 8, 3584CT, Utrecht, The Netherlands. guryev@niob.knaw.nl
authors.forename: Victor
authors.initials: V
authors.lastname: Guryev
authors.forename: Eugene
authors.initials: E
authors.lastname: Berezikov
authors.forename: Edwin
authors.initials: E
authors.lastname: Cuppen
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D030561:Databases, Nucleic Acid; D020224:Expressed Sequence Tags; D023281:Genomics; D016247:Information Storage and Retrieval; D020407:Internet; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D051381:Rats; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA; D012984:Software; D015027:Zebrafish