Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins. The gated recurrent neural network developed in the College...
Read More »RNA-Seq brings researchers another key step toward growing human organs in laboratory
Researchers have learned that precursor cells for skeletal muscles actually also give rise to neurons, blood vessels, blood cells and immune cells...
Read More »Identifying stably expressed genes from multiple RNA-Seq data sets
Researchers at Oregon State University examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried out by different labs. They grouped the samples according to tissue types, and in each of the groups, they identified genes that ...
Read More »Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases
The species-specific plant Pathway Genome Databases (PGDBs) based on the BioCyc platform provide a conceptual model of the cellular metabolic network of an organism. Such frameworks allow analysis of the genome-scale expression data to understand changes in the overall metabolisms ...
Read More »De Novo Transcriptome Assembly and Analyses of Gene Expression during Photomorphogenesis in Diploid Wheat Triticum monococcum
Triticum monococcum (2n) is a close ancestor of T. urartu, the A-genome progenitor of cultivated hexaploid wheat, and is therefore a useful model for the study of components regulating photomorphogenesis in diploid wheat. In order to develop genetic and genomic ...
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