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Work in the past 10 years has greatly expanded our understanding of Alzheimer's disease (AD) genetics, with more than 20 susceptibility genetic loci discovered in large genome-wide association and sequencing studies. The NIA Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) is funded by National Institute on Aging to serve as a one-stop portal for the community to access research data and...
Recent advances in high-throughput sequencing allow researchers to examine the transcriptome in more detail than ever before. Using a method known as high-throughput small RNA-sequencing, we can now profile the expression of small regulatory RNAs such as microRNAs and small interfering RNAs (siRNAs) with a great deal of sensitivity. However, there are many other types of small RNAs (<50nt) present...
RNA-seq produces detailed information including length, strand and pairing states, which can be leveraged to characterize RNA functional categories using machine-learning approaches. Using fruit fly small-RNA-seq data, we demonstrate that by combining read length correlation with multi-class classifier models, we can classify four non-coding RNA function classes with high precision.
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