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| http://dx.doi.org/10.4103/0019-5154.156491 | DOI Listing |
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ShinyGS-a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations.
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Genomic prediction is a powerful approach for improving genetic gain and shortening the breeding cycles in animal and crop breeding programs. A series of statistical and machine learning models has been developed to increase the prediction performance continuously. However, the application of these models requires advanced R programming skills and command-line tools to perform quality control, format input files, and install packages and dependencies, posing challenges for breeders.
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View Article and Find Full Text PDFCsMPDB 1.0: An interactive web application for visualizing and exploring the microRNAs and phasiRNAs of tea plant (Camellia sinensis var. sinensis 'Shuchazao').
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Department of Food Science and Engineering, Moutai Institute, Renhuai 564507, China. Electronic address:
The microRNAs and phasiRNAs of plant are small non-coding RNAs with important functions through regulating gene expression at the post-transcriptional level. However, identifying miRNAs, phasiRNAs and their target genes from numerous sequencing raw data requires multiple software and command-line operations, which are time-consuming and labor-intensive for non-model plants. Therefore, we present CsMPDB (miRNAs and phasiRNAs database of Camellia sinensis), an interactive web application with multiple analysis modules developed to visualize and explore miRNA and phasiRNA in tea plants based on 259 sRNA-seq samples and 24 degradome-seq samples in NCBI.
View Article and Find Full Text PDFClofazimine-induced crystalline keratopathy in a leprosy patient.
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