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  2. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    The difference between RPM and FPM was historically derived during the evolution from single-end sequencing of fragments to paired-end sequencing. In single-end sequencing, there is only one read per fragment (i.e., RPM = FPM). In paired-end sequencing, there are two reads per fragment (i.e., RPM = 2 x FPM).

  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. 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."

  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. 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 ]

  7. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    RNA-Seq operations are highly repetitious and benefit from parallelised computation but modern algorithms mean consumer computing hardware is sufficient for simple transcriptomics experiments that do not require de novo assembly of reads. [98] A human transcriptome could be accurately captured using RNA-Seq with 30 million 100 bp sequences per ...

  8. 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]

  9. DESeq2 - Wikipedia

    en.wikipedia.org/wiki/DESeq2

    DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R.It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.

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