Transcriptome analysis experiments can characterize transcriptional activity (coding and non-coding), focus on a subset of relevant target genes and transcripts, or profile thousands of genes at once to create a global picture of cell function. Gene expression analysis studies can provide a snapshot of actively expressed genes and transcripts under various conditions.
Illumina offers comprehensive next-generation sequencing (NGS) solutions that provide high-quality gene expression and transcriptome analysis data for a broad range of sample types. NGS-based RNA sequencing (RNA-Seq) methods can quantify and profile any active gene or transcript, including novel transcripts.
RNA-Seq provides a unique combination of transcriptome-wide coverage, sensitivity, and accuracy for a comprehensive view of gene expression changes. Illumina RNA-Seq solutions provide precise measurement of strand orientation, uniform coverage, and high confidence mapping of alternate transcripts and gene fusions. Discover novel gene isoforms, profile gene expression for select targets of interest, analyze the whole coding transcriptome, and accurately perform transcript abundance and fold-change measurement.
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Capture the broad effects of gene expression changes using whole-transcriptome analysis with total RNA sequencing (total RNA-Seq). The method detects both coding and multiple forms of noncoding RNA for a comprehensive view of the entire transcriptome. Learn more about total RNA-Seq.
Use this interactive tool to explore experimental next-generation sequencing (NGS) library preparation methods compiled from the scientific literature. New methods will be continuously added.Find a Method
While gene expression microarrays are effective for identifying the expression of known genes and transcripts, they cannot detect previously unidentified transcripts. In contrast, RNA-Seq offers a comprehensive gene expression profiling solution, allowing researchers to detect both known and novel genes and transcripts in a single assay. Learn more about RNA-Seq advantages over arrays.
Profiling gene expression and transcriptome changes with RNA sequencing can aid in understanding tumor classification and progression. Learn more about cancer RNA-Seq.
Bacterial, viral, and other microbial RNA-Seq experiments enable annotation and quantification of comprehensive microbial transcripts. Learn more about microbial RNA-Seq.
Find out how genomic technologies are introducing new avenues for understanding complex disease etiology on a molecular level. Learn more about complex disease genomics.