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  2. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome.

  3. snRNA-seq - Wikipedia

    en.wikipedia.org/wiki/SnRNA-seq

    snRNA-seq, also known as single nucleus RNA sequencing, single nuclei RNA sequencing or sNuc-seq, is an RNA sequencing method for profiling gene expression in cells which are difficult to isolate, such as those from tissues that are archived or which are hard to be dissociated.

  4. Coverage (genetics) - Wikipedia

    en.wikipedia.org/wiki/Coverage_(genetics)

    [1] [2] Deep sequencing refers to the general concept of aiming for high number of unique reads of each region of a sequence. [3] Physical coverage, the cumulative length of reads or read pairs expressed as a multiple of genome size. [4] Genomic coverage, the percentage of all base pairs or loci of the genome covered by sequencing.

  5. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-cell RNA sequencing (scRNA-seq) provides the expression profiles of individual cells and is considered the gold standard for defining cell states and phenotypes as of 2020. [44] Although it is impossible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, gene expression ...

  6. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    The earliest RNA-Seq work was published in 2006 with one hundred thousand transcripts sequenced using 454 technology. [40] This was sufficient coverage to quantify relative transcript abundance. RNA-Seq began to increase in popularity after 2008 when new Solexa/Illumina technologies allowed one billion transcript sequences to be recorded.

  7. 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]

  8. Small RNA sequencing - Wikipedia

    en.wikipedia.org/wiki/Small_RNA_sequencing

    Illumina sequencing: it offers a good method for small RNA sequencing and it is the most widely used approach. [7] After the library preparation and amplification steps, the sequencing (based on the use of reversible dye-terminators ) can be performed by using different systems, such as Miseq System, Miseq Series, NextSeq Series and many others ...

  9. RNA spike-in - Wikipedia

    en.wikipedia.org/wiki/RNA_spike-in

    An RNA spike-in is an RNA transcript of known sequence and quantity used to calibrate measurements in RNA hybridization assays, such as DNA microarray experiments, RT-qPCR, and RNA-Seq. [ 1 ] A spike-in is designed to bind to a DNA molecule with a matching sequence , known as a control probe .