RNA-Seq Analysis is a widely used techniques for studying gene expression at the transcriptome level. Genes can be transcribed into various types of RNA and genes allows researchers to identify and quantify the RNA molecules present in a biological sample.
RNA-Seq allows researchers to detect both known and novel features in a single easy, enabling the identification of transcript forms, gene fusion, single nucleotide variants, and other features without the limitation of prior knowledge.
RNA-Seq analysis is a highly sensitive and accurate tool for measuring across the transcriptome who is providing scientists with visibility into previously undetected change occurring in disease states, in response to therapeutics, under different environmental conditions across a wide range of other study designs.
Benefits of RNA-Seq Analysis is increasingly the method of choice for scientists studying the transcriptome are,
· It covers an extremely broad dynamic range
· They provide you sensitive, accurate measurement of gene expression
· They capture both known & novel features, does not require predesigned probes
· It generates both qualitative & quantitative data
· They also reveal the full transcriptome, not just a few selected transcripts
· This can be applied to any species, even if a reference sequence in not available
Pathway analysis and gene set analysis are synonyms are important distinction between these two groups of methods, and they also provide different results. RNA-Seq analysis is to designs the experiment appropriately. This includes selecting the biological samples to study, defining the experimental conditions or treatments, and determining the desired level of sequencing depth.
Gene analysis help to up-to-date gene annotations including miRNAs, biological processes, cellular components, pathways, SNPs, drugs, diseases, etc. They provide user-friendly interface to investigate the genes of your interest, saving valuable time and effort.
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