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The Impact of Normalization Methods on RNA-Seq Data Analysis

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 ...

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The best RNA-Seq analysis interface…depends on your persective

The best RNA-Seq analysis interface…depends on your persective

RNA-sequencing (RNA-seq) has become an established way for measuring gene expression in model organisms and humans. While methods development for refining the corresponding data processing and analysis pipeline is ongoing, protocols for typical steps have been proposed and are widely ...

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LFC – a count ratio model to estimate fold changes

LFC – a count ratio model to estimate fold changes

Various biases affect high-throughput sequencing read counts. Contrary to the general assumption, researchers from Ludwig-Maximilians-University Munich show that bias does not always cancel out when fold changes are computed and that bias affects more than 20% of genes that are ...

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Tools for small RNA biomarker discovery using RNA-Seq

Tools for small RNA biomarker discovery using RNA-Seq

Small ncRNAs (sncRNAs) offer great hope as biomarkers of disease and response to treatment. This has been highlighted in the context of several medical conditions such as cancer, liver disease, cardiovascular disease, and central nervous system disorders, among many others. ...

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RNAMiner makes transcriptomic data analysis easier

RNAMiner makes transcriptomic data analysis easier

The latest project from a group of MU College of Engineering researchers could be a gamechanger in the world of biological research. Jianlin Cheng, associate professor of computer science, and doctoral students Jilong Li and Jie Hou — with help ...

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