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  2. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    Long-read sequencing captures the full transcript and thus minimizes many of issues in estimating isoform abundance, like ambiguous read mapping. For short-read RNA-Seq, there are multiple methods to detect alternative splicing that can be classified into three main groups: [119] [91] [120]

  3. 3' mRNA-seq - Wikipedia

    en.wikipedia.org/wiki/3'_mRNA-seq

    3' mRNA-seq methods are generally cheaper per sample than standard bulk RNA-seq methods. [2] [7] [8] [9] This is because of the lower sequencing depth required due to only the 3' end of mRNA molecules being sequenced instead of the whole length of entire transcripts. Read depths of between one million and five million reads are recommended in ...

  4. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    RNA-Seq methodology has constantly improved, primarily through the development of DNA sequencing technologies to increase throughput, accuracy, and read length. [61] Since the first descriptions in 2006 and 2008, [ 40 ] [ 62 ] RNA-Seq has been rapidly adopted and overtook microarrays as the dominant transcriptomics technique in 2015.

  5. BRB-seq - Wikipedia

    en.wikipedia.org/wiki/BRB-seq

    Schematic overview of the MERCURIUS BRB-seq workflow where up to 384 samples can be barcoded and multiplexed per kit.. Bulk RNA barcoding and sequencing (BRB-seq) is an ultra-high-throughput bulk 3' mRNA-seq technology that uses early-stage sample barcoding and unique molecular identifiers (UMIs) to allow the pooling of up to 384 samples in one tube early in the sequencing library preparation ...

  6. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    RNA Seq Experiment. The single-cell RNA-seq technique converts a population of RNAs to a library of cDNA fragments. These fragments are sequenced by high-throughput next generation sequencing techniques and the reads are mapped back to the reference genome, providing a count of the number of reads associated with each gene. [13]

  7. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    It allows for both qualitative and quantitative analysis of RNA transcripts, the former allowing discovery of new transcripts and the latter a measure of relative quantities for transcripts in a sample. [16] The three main steps of sequencing transcriptomes of any biological samples include RNA purification, the synthesis of an RNA or cDNA ...

  8. Massively parallel signature sequencing - Wikipedia

    en.wikipedia.org/wiki/Massively_parallel...

    So if there are 50 copies of a specific transcript in the biological sample, these transcripts will be captured onto 50 different microbeads, each bead holding roughly 100,000 amplified copies of the specific signature sequence. The microbeads are then arrayed in a flow cell for sequencing and quantification. The sequence signatures are ...

  9. Cap analysis of gene expression - Wikipedia

    en.wikipedia.org/wiki/Cap_Analysis_of_Gene...

    In nanoCAGE (Plessy et al., 2010), [9] the 5′ ends or RNAs were captured with the template-switching method instead of CAP Trapper, in order to analyze smaller starting amounts of total RNA. Longer tags were cleaved with the type III restriction enzyme EcoP15I and directly sequenced on the Solexa (then Illumina) platform without concatenation.