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  2. File:RNA-Seq workflow-5.pdf - Wikipedia

    en.wikipedia.org/wiki/File:RNA-Seq_workflow-5.pdf

    Download QR code; In other projects ... English: Single-cell RNA sequencing workflow. Date: 7 March 2014, 14:01:53 ... Version of PDF format: 1.5

  3. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-cell DNA genome sequencing involves isolating a single cell, amplifying the whole genome or region of interest, constructing sequencing libraries, and then applying next-generation DNA sequencing (for example Illumina, Ion Torrent). Single-cell DNA sequencing has been widely applied in mammalian systems to study normal physiology and ...

  4. File:Single Cell Genome Sequencing Workflow.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Single_Cell_Genome...

    English: This figure illustrates steps involved in workflow of single cell genome sequencing. MDA stands for multiple displacement amplification. MDA stands for multiple displacement amplification. Date

  5. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    Single-cell RNA sequencing (scRNA-Seq) provides the expression profiles of individual cells. Although it is not possible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, patterns of gene expression can be identified through gene clustering analyses .

  6. Single-cell analysis - Wikipedia

    en.wikipedia.org/wiki/Single-cell_analysis

    This single cell shows the process of the central dogma of molecular biology, which are all steps researchers are interested to quantify (DNA, RNA, and Protein).. In cell biology, single-cell analysis and subcellular analysis [1] refer to the study of genomics, transcriptomics, proteomics, metabolomics, and cellcell interactions at the level of an individual cell, as opposed to more ...

  7. CITE-Seq - Wikipedia

    en.wikipedia.org/wiki/CITE-Seq

    Analysis of single-cell sequencing presents many challenges, such as determining the best way to normalize the data. [8] Due to a new level of complications that arise from sequencing of both proteins and transcripts at a single-cell level, the developers of CITE-Seq and their collaborators are maintaining several tools to help with data analysis.

  8. Sequence analysis - Wikipedia

    en.wikipedia.org/wiki/Sequence_analysis

    Identifying variants is a popular aspect of sequence analysis as variants often contain information of biological significance, such as explaining the mechanism of drug resistance in an infectious disease. These variants could be single nucleotide variants (SNVs), small insertions/deletions (indels), and large structural variants.

  9. List of single cell omics methods - Wikipedia

    en.wikipedia.org/wiki/List_of_single_cell_omics...

    A list of more than 100 different single cell sequencing (omics) methods have been published. [1] The large majority of methods are paired with short-read sequencing technologies, although some of them are compatible with long read sequencing.