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Improving microRNA target prediction with gene expression profiles

Improving microRNA target prediction with gene expression profiles

Mammalian genomes encode for thousands of microRNAs, which can potentially regulate the majority of protein-coding genes. They have been implicated in development and disease, leading to great interest in understanding their function, with computational methods being widely used to predict ...

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New to RNA-Seq Bioinformatics? Try GeneGazer

New to RNA-Seq Bioinformatics? Try GeneGazer

Next-generation sequencing provides useful information about gene mutations, gene expression, epigenetic modification, microRNA expression, and copy number variations. More and more computing tools have been developed to analyze this large quantity of information. However, to test and find suitable analytical ...

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You might be ruining your RNA-Seq data

You might be ruining your RNA-Seq data

High-throughput RNA-Sequencing (RNA-Seq) has become the preferred technique for studying gene expression differences between biological samples and for discovering novel isoforms, though the techniques to analyze the resulting data are still immature. One pre-processing step that is widely but heterogeneously ...

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