High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...
RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...
EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens ...
This article explores how to generate high-quality transcriptomics data by optimizing each step, from experimental design and RNA extraction to library preparation sequencing and data analysis, to ...
By examining genomic variation more closely, scientists can now identify new disease connections with greater speed and accuracy. For centuries, scientists have recognized that certain illnesses can ...
Researchers identify FGFR4, FLT1, and WNT5A as key biomarkers and suggest dovitinib and nintedanib as new targeted therapies ...
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What are Hidden RNAs and How Can You Identify Them in RNA-Seq Data?
Discover the biological significance of hidden RNAs and learn how to detect them in RNA-Seq data using advanced techniques.
Scientists have long suspected connections between heredity and disease, dating back to Hippocrates, who observed certain ...
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