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. 2005 Jan 27:6:10.
doi: 10.1186/1471-2164-6-10.

CASCAD: a database of annotated candidate single nucleotide polymorphisms associated with expressed sequences

Victor Guryev  1 , Eugene Berezikov, Edwin Cuppen
Affiliations

CASCAD: a database of annotated candidate single nucleotide polymorphisms associated with expressed sequences

Victor Guryev et al. BMC Genomics. .

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.

Description: 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.

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Figures

Figure 1
Figure 1
CASCAD advanced search form.
Figure 2
Figure 2
SNP details page
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References

    1. Guryev V, Berezikov E, Malik R, Plasterk RHA, Cuppen E. Single nucleotide polymophisms associated with rat expressed sequences. Genome Res. 2004;14:1438–1443. doi: 10.1101/gr.2154304. - DOI - PMC - PubMed
    1. Primer design interface http://primers.niob.knaw.nl
    1. Berezikov E, Plasterk RHA, Cuppen E. GENOTRACE: cDNA-based local GENOme assembly from TRACE archives. Bioinformatics. 2002;18:1396–1397. doi: 10.1093/bioinformatics/18.10.1396. - DOI - PubMed
    1. Ng PC, Henikoff S. SIFT: Predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–3814. doi: 10.1093/nar/gkg509. - DOI - PMC - PubMed
    1. Ramensky V, Bork P, Sunyaev S. Human non-synonymous SNPs: Server and survey. Nucleic Acids Res. 2002;30:3894–3900. doi: 10.1093/nar/gkf493. - DOI - PMC - PubMed

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