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transcriptomics

transcriptomics

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What is transcriptomics?

Transcriptomics is the study of the transcriptome – the complete set of RNA transcripts that are produced by the genome at any one time. It involves quantifying the expression levels of mRNAs, and sometimes other non-coding RNAs, to understand gene activity and cellular function. Common uses include identifying differentially expressed genes in different conditions (e.g., healthy vs. diseased tissue), discovering novel transcripts, and profiling gene expression changes in response to stimuli or treatments.

What other technologies are related to transcriptomics?

transcriptomics Competitor Technologies

Proteomics measures protein expression, offering an alternative to transcriptomics for understanding cellular activity. While transcriptomics measures RNA levels, proteomics measures the protein abundance.
mentioned alongside transcriptomics in 20% (834) of relevant job posts
Metabolomics analyzes the small-molecule metabolites in a biological sample, providing a functional readout of cellular state that can be used instead of transcriptomics.
mentioned alongside transcriptomics in 23% (494) of relevant job posts
Lipidomics analyzes the lipid profiles in a biological sample, providing a functional readout of cellular state that can be used instead of transcriptomics.
mentioned alongside transcriptomics in 15% (57) of relevant job posts

transcriptomics Complementary Technologies

Genomics provides the DNA sequence information that serves as the foundation for transcriptomics studies. Understanding the genome is essential for interpreting transcriptomic data.
mentioned alongside transcriptomics in 16% (518) of relevant job posts
Epigenomic modifications influence gene expression. Integrating epigenomic data with transcriptomic data provides a more complete understanding of gene regulation.
mentioned alongside transcriptomics in 38% (150) of relevant job posts
Bioinformatics is essential for analyzing and interpreting large-scale transcriptomic datasets.
mentioned alongside transcriptomics in 4% (276) of relevant job posts

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