SAT, a web-based pipeline for SSR markers development from enriched libraries

Analysis of sequences obtained from SSR (Simple Sequence Repeat) enriched libraries has been shown to exhibit difficulties that are not taken into consideration for other type of sequences (EST, BAC etc...), and are thus difficult for scientists to integrate and deal with. In this context, SAT (SSR Analysis Tool) has been designed to help minimize tedious manual operations, to reduce the level of errors, and to facilitate the tasks of integrating, analyzing and managing nucleotide sequences coming from SSR libraries. SAT is a user-friendly web-based system designed to successively perform base-calling and quality evaluation of chromatograms, vector and adaptors removing, restriction digestion (in order to separate the DNA fragments which could have formed chimera during the process of library construction), SSR recognition, clustering and alignment, and finally primer design on consensus sequences. An additional virtual PCR completes the treatment in establishing primer specificity. Although there is an obligatory kernel of tasks (SSR recognition and sequence alignment), the user is not constrained to run the entire treatment and can choose the steps to perform. It can thus be applied to other type of sequences than those obtained from SSR enriched libraries. The pipeline is associated to a MySQL database to store the different steps of the run, and to reprocess some further analysis on the consensus sequences and their respective primers (specificity, refinement of the alignment, sequences without primers, etc). (Texte intégral)

Saved in:
Bibliographic Details
Main Authors: Dereeper, Alexis, Argout, Xavier, Billot, Claire, Rami, Jean-François, Ruiz, Manuel
Format: conference_item biblioteca
Language:eng
Published: s.n.
Subjects:F30 - Génétique et amélioration des plantes, C30 - Documentation et information,
Online Access:http://agritrop.cirad.fr/544056/
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-544056
record_format koha
spelling dig-cirad-fr-5440562019-02-18T17:01:47Z http://agritrop.cirad.fr/544056/ http://agritrop.cirad.fr/544056/ SAT, a web-based pipeline for SSR markers development from enriched libraries. Dereeper Alexis, Argout Xavier, Billot Claire, Rami Jean-François, Ruiz Manuel. 2006. In : Abstracts of Plant and Animal Genomes XIVth Conference, San Diego, CA (USA), January 14-18, 2006. s.l. : s.n., Résumé Plant and Animal Genomes Conference. 14, San Diego, États-Unis, 14 Janvier 2006/18 Janvier 2006.http://www.intl-pag.org/14/abstracts/PAG14_P884.html <http://www.intl-pag.org/14/abstracts/PAG14_P884.html> Researchers SAT, a web-based pipeline for SSR markers development from enriched libraries Dereeper, Alexis Argout, Xavier Billot, Claire Rami, Jean-François Ruiz, Manuel eng 2006 s.n. Abstracts of Plant and Animal Genomes XIVth Conference, San Diego, CA (USA), January 14-18, 2006 F30 - Génétique et amélioration des plantes C30 - Documentation et information Analysis of sequences obtained from SSR (Simple Sequence Repeat) enriched libraries has been shown to exhibit difficulties that are not taken into consideration for other type of sequences (EST, BAC etc...), and are thus difficult for scientists to integrate and deal with. In this context, SAT (SSR Analysis Tool) has been designed to help minimize tedious manual operations, to reduce the level of errors, and to facilitate the tasks of integrating, analyzing and managing nucleotide sequences coming from SSR libraries. SAT is a user-friendly web-based system designed to successively perform base-calling and quality evaluation of chromatograms, vector and adaptors removing, restriction digestion (in order to separate the DNA fragments which could have formed chimera during the process of library construction), SSR recognition, clustering and alignment, and finally primer design on consensus sequences. An additional virtual PCR completes the treatment in establishing primer specificity. Although there is an obligatory kernel of tasks (SSR recognition and sequence alignment), the user is not constrained to run the entire treatment and can choose the steps to perform. It can thus be applied to other type of sequences than those obtained from SSR enriched libraries. The pipeline is associated to a MySQL database to store the different steps of the run, and to reprocess some further analysis on the consensus sequences and their respective primers (specificity, refinement of the alignment, sequences without primers, etc). (Texte intégral) conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://www.intl-pag.org/14/abstracts/PAG14_P884.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=199773 info:eu-repo/semantics/altIdentifier/purl/http://www.intl-pag.org/14/abstracts/PAG14_P884.html
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F30 - Génétique et amélioration des plantes
C30 - Documentation et information
F30 - Génétique et amélioration des plantes
C30 - Documentation et information
spellingShingle F30 - Génétique et amélioration des plantes
C30 - Documentation et information
F30 - Génétique et amélioration des plantes
C30 - Documentation et information
Dereeper, Alexis
Argout, Xavier
Billot, Claire
Rami, Jean-François
Ruiz, Manuel
SAT, a web-based pipeline for SSR markers development from enriched libraries
description Analysis of sequences obtained from SSR (Simple Sequence Repeat) enriched libraries has been shown to exhibit difficulties that are not taken into consideration for other type of sequences (EST, BAC etc...), and are thus difficult for scientists to integrate and deal with. In this context, SAT (SSR Analysis Tool) has been designed to help minimize tedious manual operations, to reduce the level of errors, and to facilitate the tasks of integrating, analyzing and managing nucleotide sequences coming from SSR libraries. SAT is a user-friendly web-based system designed to successively perform base-calling and quality evaluation of chromatograms, vector and adaptors removing, restriction digestion (in order to separate the DNA fragments which could have formed chimera during the process of library construction), SSR recognition, clustering and alignment, and finally primer design on consensus sequences. An additional virtual PCR completes the treatment in establishing primer specificity. Although there is an obligatory kernel of tasks (SSR recognition and sequence alignment), the user is not constrained to run the entire treatment and can choose the steps to perform. It can thus be applied to other type of sequences than those obtained from SSR enriched libraries. The pipeline is associated to a MySQL database to store the different steps of the run, and to reprocess some further analysis on the consensus sequences and their respective primers (specificity, refinement of the alignment, sequences without primers, etc). (Texte intégral)
format conference_item
topic_facet F30 - Génétique et amélioration des plantes
C30 - Documentation et information
author Dereeper, Alexis
Argout, Xavier
Billot, Claire
Rami, Jean-François
Ruiz, Manuel
author_facet Dereeper, Alexis
Argout, Xavier
Billot, Claire
Rami, Jean-François
Ruiz, Manuel
author_sort Dereeper, Alexis
title SAT, a web-based pipeline for SSR markers development from enriched libraries
title_short SAT, a web-based pipeline for SSR markers development from enriched libraries
title_full SAT, a web-based pipeline for SSR markers development from enriched libraries
title_fullStr SAT, a web-based pipeline for SSR markers development from enriched libraries
title_full_unstemmed SAT, a web-based pipeline for SSR markers development from enriched libraries
title_sort sat, a web-based pipeline for ssr markers development from enriched libraries
publisher s.n.
url http://agritrop.cirad.fr/544056/
work_keys_str_mv AT dereeperalexis satawebbasedpipelineforssrmarkersdevelopmentfromenrichedlibraries
AT argoutxavier satawebbasedpipelineforssrmarkersdevelopmentfromenrichedlibraries
AT billotclaire satawebbasedpipelineforssrmarkersdevelopmentfromenrichedlibraries
AT ramijeanfrancois satawebbasedpipelineforssrmarkersdevelopmentfromenrichedlibraries
AT ruizmanuel satawebbasedpipelineforssrmarkersdevelopmentfromenrichedlibraries
_version_ 1758021592549425152