PLANT PHYSIOLOGY · 2012 · 31 citations · 26 references
Life SciencesPlant BiologyPlant SciencesComparative GenomicsGenomicsPlant GeneticsAgronomic Trait EvaluationComparative Plant GenomicsCrop GenomicsGene MappingGenome Evolution In PlantsMolecular Markers In PlantsComparative Crop GenomicsComparative Genomic Data IntegrationComparative Genomic MappingComparative Genomic VariationGenome Annotation ComparisonQtl Detection
CSGRqtl (http://helos.pgml.uga.edu/qtl/) is a comparative genomic database that facilitates the cross utilization of information among members of the Saccharinae clade of grasses, and between Saccharinae and other taxa. CSGRqtl is developed as a specific data mining resource for Saccharinae crops, weeds, and models, complementing and supplementing another database, Gramene, which includes a variety of mapping data for a broad spectrum of grass taxa. To facilitate data comparisons, a plant trait ontology defined by Gramene is applied to categorize Saccharinae quantitative trait loci (QTLs). Using the sorghum (Sorghum bicolor) genome sequence as a central reference, CSGRqtl provides approximate physical positions for QTL likelihood peaks. In order to facilitate QTL mapping and further study of the functions and evolution of candidate genes that may underlie QTLs, CSGRqtl integrates gene annotations, genetic markers, and paleoduplicated regions, and provides a series of query functionalities to navigate different data components on the basis of QTL alignments. The goals of CSGRqtl are to provide both for practical needs of crop improvement by serving as a toolbox for QTL visualization and manipulation, and to facilitate investigation of fundamental questions about similarities and differences in the genetic control of traits across paleoduplicated “subgenomes” and across the genomes of divergent taxa.
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Basic local alignment search tool
Stephen F. Altschul, Warren Gish, Webb Miller et al. · Journal of Molecular Biology · 1990 · 94.5K citations
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The Sorghum bicolor genome and the diversification of grasses
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