Cargando…

EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes

BACKGROUND: Microsatellites have immense utility as molecular markers in different fields like genome characterization and mapping, phylogeny and evolutionary biology. Existing microsatellite databases are of limited utility for experimental and computational biologists with regard to their content...

Descripción completa

Detalles Bibliográficos
Autores principales: Aishwarya, Veenu, Grover, Atul, Sharma, Prakash C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933429/
https://www.ncbi.nlm.nih.gov/pubmed/17623061
http://dx.doi.org/10.1186/1471-2164-8-225
_version_ 1782134325929574400
author Aishwarya, Veenu
Grover, Atul
Sharma, Prakash C
author_facet Aishwarya, Veenu
Grover, Atul
Sharma, Prakash C
author_sort Aishwarya, Veenu
collection PubMed
description BACKGROUND: Microsatellites have immense utility as molecular markers in different fields like genome characterization and mapping, phylogeny and evolutionary biology. Existing microsatellite databases are of limited utility for experimental and computational biologists with regard to their content and information output. EuMicroSatdb (Eukaryotic MicroSatellite database) is a web based relational database for easy and efficient positional mining of microsatellites from sequenced eukaryotic genomes. DESCRIPTION: A user friendly web interface has been developed for microsatellite data retrieval using Active Server Pages (ASP). The backend database codes for data extraction and assembly have been written using Perl based scripts and C++. Precise need based microsatellites data retrieval is possible using different input parameters like microsatellite type (simple perfect or compound perfect), repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and chromosomal location in the genome. Furthermore, information about clustering of different microsatellites in the genome can also be retrieved. Finally, to facilitate primer designing for PCR amplification of any desired microsatellite locus, 200 bp upstream and downstream sequences are provided. CONCLUSION: The database allows easy systematic retrieval of comprehensive information about simple and compound microsatellites, microsatellite clusters and their locus coordinates in 31 sequenced eukaryotic genomes. The information content of the database is useful in different areas of research like gene tagging, genome mapping, population genetics, germplasm characterization and in understanding microsatellite dynamics in eukaryotic genomes.
format Text
id pubmed-1933429
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-19334292007-07-26 EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes Aishwarya, Veenu Grover, Atul Sharma, Prakash C BMC Genomics Database BACKGROUND: Microsatellites have immense utility as molecular markers in different fields like genome characterization and mapping, phylogeny and evolutionary biology. Existing microsatellite databases are of limited utility for experimental and computational biologists with regard to their content and information output. EuMicroSatdb (Eukaryotic MicroSatellite database) is a web based relational database for easy and efficient positional mining of microsatellites from sequenced eukaryotic genomes. DESCRIPTION: A user friendly web interface has been developed for microsatellite data retrieval using Active Server Pages (ASP). The backend database codes for data extraction and assembly have been written using Perl based scripts and C++. Precise need based microsatellites data retrieval is possible using different input parameters like microsatellite type (simple perfect or compound perfect), repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and chromosomal location in the genome. Furthermore, information about clustering of different microsatellites in the genome can also be retrieved. Finally, to facilitate primer designing for PCR amplification of any desired microsatellite locus, 200 bp upstream and downstream sequences are provided. CONCLUSION: The database allows easy systematic retrieval of comprehensive information about simple and compound microsatellites, microsatellite clusters and their locus coordinates in 31 sequenced eukaryotic genomes. The information content of the database is useful in different areas of research like gene tagging, genome mapping, population genetics, germplasm characterization and in understanding microsatellite dynamics in eukaryotic genomes. BioMed Central 2007-07-10 /pmc/articles/PMC1933429/ /pubmed/17623061 http://dx.doi.org/10.1186/1471-2164-8-225 Text en Copyright © 2007 Aishwarya et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Aishwarya, Veenu
Grover, Atul
Sharma, Prakash C
EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title_full EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title_fullStr EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title_full_unstemmed EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title_short EuMicroSatdb: A database for microsatellites in the sequenced genomes of eukaryotes
title_sort eumicrosatdb: a database for microsatellites in the sequenced genomes of eukaryotes
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933429/
https://www.ncbi.nlm.nih.gov/pubmed/17623061
http://dx.doi.org/10.1186/1471-2164-8-225
work_keys_str_mv AT aishwaryaveenu eumicrosatdbadatabaseformicrosatellitesinthesequencedgenomesofeukaryotes
AT groveratul eumicrosatdbadatabaseformicrosatellitesinthesequencedgenomesofeukaryotes
AT sharmaprakashc eumicrosatdbadatabaseformicrosatellitesinthesequencedgenomesofeukaryotes