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URL: http://ipu.ac.in/usbt/UgMicroSatdb.htm
Proper Citation: Unigene MicroSatellite database (RRID:SCR_007968)
Description: This is a database of microsatellite sequences (short tandem repeats useful in gene comparison and kinship studies) present in 80 genomes. Users can search the database by microsatellite type, repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and repeat sequence class. They can also search by specifying EST, cDNA, CDS identity or by using Gene Index, GenBank, UniGene IDs. Microsatellites, also known as simple sequence repeats (SSRs) or simple tandem repeats (STRs), have extensively been exploited as molecular markers for diverse applications including genome characterization and mapping. Recently, their role in gene regulation and genome evolution has also been discussed widely. We have developed UgMicroSatdb (Unigene MicroSatellite database), a web based relational database of microsatellites present in unigene sequences covering 80 genomes. UgMicroSatdb allows microsatellite search using multiple parameters like microsatellite type simple (perfect) and compound (perfect and imperfect), repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and repeat sequence class. Microsatellites can also be retrieved by specifying EST, cDNA, CDS identity or by using Gene Index, GenBank, UniGene IDs. The database also provides information about trinucleotide repeats encoding various amino acids. Such codon repeats can be searched by specifying characteristics of coded amino acids like charge (basic, acidic or neutral), polarity (polar or non-polar) and their hydrophobic or hydrophilic nature. The nucleotide sequences of the target UniGenes are also provided to facilitate primer designing for PCR amplification of any desired microsatellite.
Synonyms: UgMicroSatdb : Database for mining microsatellites from Unigenes, UgMicroSatdb
Resource Type: database, data or information resource
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Source: SciCrunch Registry
Data set from Kravitz, Owen and Kretizer's 2012 paper "Optogenetic identification of striatal projection neuron subtypes during in vivo recordings."
