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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. 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 ...

  5. 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]

  6. 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.

  7. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    RNA integrity can also be analyzed quantitatively comparing the ratio and intensity of 28S RNA to 18S RNA reported in the RNA Integrity Number (RIN) score. [23] Since mRNA is the species of interest and it represents only 3% of its total content, the RNA sample should be treated to remove rRNA and tRNA and tissue-specific RNA transcripts.

  8. Coverage (genetics) - Wikipedia

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

    Sequence coverage (or depth) is the number of unique reads that include a given nucleotide in the reconstructed sequence. [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 ...

  9. Nucleic acid quantitation - Wikipedia

    en.wikipedia.org/wiki/Nucleic_acid_quantitation

    If the sample volumes are large enough to use microplates or cuvettes, the dye-loaded samples can also be quantified with a fluorescence photometer. Minimum sample volume starts at 0.3 μL. [10] To date there is no fluorescence method to determine protein contamination of a DNA sample that is similar to the 260 nm/280 nm spectrophotometric version.