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</script>Next-generation sequencing technologies are now being exploited not only to analyse static genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these powerful and rapidly evolving technologies have only been available for a couple of years, they are already making substantial contributions to our understanding of genome expression and regulation. Here, we briefly describe technical issues accompanying RNA-seq data generation and analysis, highlighting differences to array-based approaches. We then review recent biological insight gained from applying RNA-seq and related approaches to deeply sample transcriptomes in different cell types or physiological conditions. These approaches are providing fascinating information about transcriptional and post-transcriptional gene regulation, and they are also giving unique insight into the richness of transcript structures and processing on a global scale and at unprecedented resolution.
Pharmacology, 570, Transcription, Genetic, Sequence Analysis, RNA, Cell Biology, Review, Cellular and Molecular Neuroscience, Mice, Gene Expression Regulation, Molecular Medicine, Animals, Humans, Molecular Biology, Oligonucleotide Array Sequence Analysis
Pharmacology, 570, Transcription, Genetic, Sequence Analysis, RNA, Cell Biology, Review, Cellular and Molecular Neuroscience, Mice, Gene Expression Regulation, Molecular Medicine, Animals, Humans, Molecular Biology, Oligonucleotide Array Sequence Analysis
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