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DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
G2P is an integrated genomic selection (GS) package for predicting phenotypes from genotypes. It includes 15 GS algorithms and 13 evaluation measurements.
An integrated R toolkit for Plant Epitranscriptome Analysis
TAMF: A flexible framework for large-scale transcriptomic data analysis using matrix factorization
DeepEA: a Galaxy-based framework for exploration and large-scale analysis of epitranscriptome sequencing data
CAFU: A Galaxy framework for exploring unmapped RNA-Seq data
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