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Recently, I been worked with RNA sequencing data analysis concerning a set of 80 candidate genes. Here is my library preparation workflow, RNA was reverse transcribed to cDNA which was used for capture by Angilent customized probes, then proceed to high through sequencing. After mapping, I want to do DEG analysis, which software should I to use when my gene number is limited? or I just calculate RPKM and simply identify DEGs by fold change > 2?
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The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...Yesterday, 07:48 AM -
The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...04-22-2024, 07:01 AM