Understand the stages of a standard RNA-seq bioinformatics workflow, including the role of QC, alignment, gene expression quantification, and specialized application analyses Identify key QC metrics ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
Although there are striking differences between the cells that make up your eyes, kidneys, brain and toes, the DNA blueprint for these cells is essentially the same. Where do those differences come ...
Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...
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Making sense of your gene expression data
Gene expression analysis helps uncover how cells function, adapt, and contribute to disease. Techniques from microarray preprocessing to advanced single-cell proteomics offer complementary insights ...
A full-size, high-density RNA microchip is about the size of a fingernail and can contain up to 780 000 unique RNA sequences, each occupying a ~14 x 14 μm² area. The presence and the quality of the ...
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