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  2. 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 ]

  3. 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.

  4. 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.

  5. Virginia county approves data center project after 27-hour ...

    www.aol.com/news/virginia-county-approves-data...

    County supervisors in northern Virginia approved one of the world's largest data center projects after a public hearing that ran through the night and lasted more than 24 hours. The Prince William ...

  6. MicroRNA sequencing - Wikipedia

    en.wikipedia.org/wiki/MicroRNA_sequencing

    MicroRNA sequencing (miRNA-seq), a type of RNA-Seq, is the use of next-generation sequencing or massively parallel high-throughput DNA sequencing to sequence microRNAs, also called miRNAs. miRNA-seq differs from other forms of RNA-seq in that input material is often enriched for small RNAs. miRNA-seq allows researchers to examine tissue-specific expression patterns, disease associations, and ...

  7. Spatial transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Spatial_transcriptomics

    Spatial transcriptomics, or spatially resolved transcriptomics, is a method that captures positional context of transcriptional activity within intact tissue. [1] The historical precursor to spatial transcriptomics is in situ hybridization, [2] where the modernized omics terminology refers to the measurement of all the mRNA in a cell rather than select RNA targets.

  8. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    The single-cell RNA-Seq protocols vary in efficiency of RNA capture, which results in differences in the number of transcripts generated from each single cell. Single-cell libraries are usually sequenced to a depth of 1,000,000 reads because a large majority of genes are detected with 500,000 reads. [ 104 ]

  9. Small RNA sequencing - Wikipedia

    en.wikipedia.org/wiki/Small_RNA_sequencing

    Small RNA sequencing (Small RNA-Seq) is a type of RNA sequencing based on the use of NGS technologies that allows to isolate and get information about noncoding RNA molecules in order to evaluate and discover new forms of small RNA and to predict their possible functions.