RNA-Seq: a revolutionary tool for transcriptomics
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TLDR
The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.Abstract:
RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.read more
Citations
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Journal ArticleDOI
Transcriptome Profiling in Human Diseases: New Advances and Perspectives.
TL;DR: In the last decades, transcriptome profiling has been one of the most utilized approaches to investigate human diseases at the molecular level and total RNA sequencing has completely revolutionized transcriptome analysis allowing the quantification of gene expression levels and allele-specific expression in a single experiment.
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AutoImpute: Autoencoder based imputation of single-cell RNA-seq data.
TL;DR: An autoencoder-based sparse gene expression matrix imputation method, which learns the inherent distribution of the input scRNA-seq data and imputes the missing values accordingly with minimal modification to the biologically silent genes.
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Heart failure-associated changes in RNA splicing of sarcomere genes.
Sek Won Kong,Yong Wu Hu,Yong Wu Hu,Joshua W. K. Ho,Sadakatsu Ikeda,Sean P. Polster,Ranjit John,Jennifer L. Hall,Egbert Bisping,Burkert Pieske,Cristobal G. dos Remedios,William T. Pu +11 more
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Existing and Emerging Technologies for Tumor Genomic Profiling
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