Evaluation of normalization methods in mammalian microRNA-Seq data
نویسندگان
چکیده
منابع مشابه
The Impact of Normalization Methods on RNA-Seq Data Analysis
High-throughput sequencing technologies, such as the Illumina Hi-seq, are powerful new tools for investigating a wide range of biological and medical problems. Massive and complex data sets produced by the sequencers create a need for development of statistical and computational methods that can tackle the analysis and management of data. The data normalization is one of the most crucial steps ...
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15 صفحه اولComparison of normalization methods with microRNA microarray.
MicroRNAs (miRNAs) are a group of RNAs that play important roles in regulating gene expression and protein translation. In a previous study, we established an oligonucleotide microarray platform to detect miRNA expression. Because it contained only hundreds of probes, data normalization was difficult. In this study, the microarray data for eight miRNAs extracted from inflamed rat dorsal root ga...
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We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in s...
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ژورنال
عنوان ژورنال: RNA
سال: 2012
ISSN: 1355-8382
DOI: 10.1261/rna.030916.111