MegaSSR: a web server for large scale microsatellite identification, classification, and marker development

cg.contactmorad.mokhtar@ageri.sci.egen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerAgricultural Genetic Engineering Research Institute - AGERIen_US
cg.contributor.centerMohammed VI Polytechnic University - UM6Pen_US
cg.contributor.crpGenetic Innovation - GIen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.initiativeAccelerated Breedingen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryEGen_US
cg.coverage.countryMAen_US
cg.coverage.regionNorthern Africaen_US
cg.identifier.doihttps://dx.doi.org/10.3389/fpls.2023.1219055en_US
cg.isijournalISI Journalen_US
cg.issn1664-462Xen_US
cg.journalFrontiers in Plant Scienceen_US
cg.subject.actionAreaGenetic Innovationen_US
cg.subject.agrovocsimple sequence repeatsen_US
cg.subject.impactAreaClimate adaptation and mitigationen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.volume14en_US
dc.contributorAlsamman, Alsamman M.en_US
dc.contributorEl Allali, Achrafen_US
dc.creatorMokhtar, Morad M.en_US
dc.date.accessioned2024-09-25T19:29:54Z
dc.date.available2024-09-25T19:29:54Z
dc.description.abstractNext-generation sequencing technologies have opened new avenues for using genomic data to study and develop molecular markers and improve genetic resources. Simple Sequence Repeats (SSRs) as genetic markers are increasingly used in molecular diversity and molecular breeding programs that require bioinformatics pipelines to analyze the large amounts of data. Therefore, there is an ongoing need for online tools that provide computational resources with minimal effort and maximum efficiency, including automated development of SSR markers. These tools should be flexible, customizable, and able to handle the ever-increasing amount of genomic data. Here we introduce MegaSSR (https://bioinformatics.um6p.ma/MegaSSR), a web server and a standalone pipeline that enables the design of SSR markers in any target genome. MegaSSR allows users to design targeted PCR-based primers for their selected SSR repeats and includes multiple tools that initiate computational pipelines for SSR mining, classification, comparisons, PCR primer design, in silico PCR validation, and statistical visualization. MegaSSR results can be accessed, searched, downloaded, and visualized with user-friendly web-based tools. These tools provide graphs and tables showing various aspects of SSR markers and corresponding PCR primers. MegaSSR will accelerate ongoing research in plant species and assist breeding programs in their efforts to improve current genomic resources.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/340c2521f88322c1bd27a7a1af8f24acen_US
dc.identifier.citationMorad M. Mokhtar, Alsamman M. Alsamman, Achraf El Allali. (14/12/2023). MegaSSR: a web server for large scale microsatellite identification, classification, and marker development. Frontiers in Plant Science, 14.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/69545
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Plant Science;14,en_US
dc.subjectssr markersen_US
dc.subjectmegassr web serveren_US
dc.subjectnon-redundant ssr libraryen_US
dc.subjectbioinformatic pipeline.en_US
dc.titleMegaSSR: a web server for large scale microsatellite identification, classification, and marker developmenten_US
dc.typeJournal Articleen_US
dcterms.available2023-12-14en_US
dcterms.issued2023-12-14en_US
mel.impact-factor4.1en_US

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