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  2. 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 ...

  3. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    RNA-Seq can also be used to determine exon/intron boundaries and verify or amend previously annotated 5' and 3' gene boundaries. Recent advances in RNA-Seq include single cell sequencing, bulk RNA sequencing, [6] 3' mRNA-sequencing, in situ sequencing of fixed tissue, and native RNA molecule sequencing with single-molecule real-time sequencing. [7]

  4. Time-resolved RNA sequencing - Wikipedia

    en.wikipedia.org/wiki/Time-resolved_RNA_sequencing

    Time-resolved RNA sequencing methods are applications of RNA-seq that allow for observations of RNA abundances over time in a biological sample or samples. Second-Generation DNA sequencing has enabled cost effective, high throughput and unbiased analysis of the transcriptome . [ 1 ]

  5. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    On benchmarks with standard RNA-Seq data, kallisto can quantify 30 million human reads in less than 3 minutes on a Mac desktop computer using only the read sequences and a transcriptome index that itself takes less than 10 minutes to build."

  6. 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 ...

  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]

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    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  9. TopHat (bioinformatics) - Wikipedia

    en.wikipedia.org/wiki/TopHat_(bioinformatics)

    It mapped more than 2.2 million reads per CPU hour. That speed allowed the user to process and entire RNA-Seq experiment in less than a day, even on a standard desktop computer. [1] Tophat uses Bowtie in the beginning to analyze the reads, but then does more to analyze the reads that span exon-exon junctions.

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