Recent studies based on deep sequencing have uncovered the presence of miRNA* in different systems but in low abundance [ 38].
Studies based on deep sequencing of selected regions from thousands of individuals further show that the majority of rare coding variants, with allele frequencies lower than 0.0005, are also population-specific and potentially deleterious [ 19].
Finally, a recent study based on deep re-sequencing of human transcriptome [ 14] uncovered a new repertoire of plausible intronic hexamers supporting the tissue-specific splicing events.
Our current study, which was based on deep sequencing, overcomes the above shortcomings and represents a novel approach to analysis of HCV heterogeneity.
In this study we used a model based on deep architectures to provide better representations of Input.
The mechanical effects of bolt-mesh-anchor coupling support in deep tunnels were studied by using a numerical method, based on deep tunnel coupling supporting techniques and non-linear deformation mechanical theory of rock mass at great depths.
In this study, a non-linear surrogate model based on deep learning is proposed using a variational autoencoder with deep convolutional layers and a deep neural network with batch normalization (VAEDC-DNN) for real-time analysis of the probability of death (Pdeath).
In this study, we sequenced and analyzed small RNAs of the soybean under three treatments based on deep sequencing.
In this study, we created a genomic and transcriptomic resource for a HeLa cell line based on deep DNA and RNA sequencing.
Therefore, based on deep sequencing data, our interpretation focuses on vision.
