A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
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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 ...
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Lab automation is changing cDNA workflows
cDNA is produced from RNA templates via reverse transcription and is used in applications like RT-qPCR, microarrays, and RNA-seq. High-quality synthesis depends on intact RNA, removal of genomic DNA, ...
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