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  2. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-cell RNA sequencing (scRNA-seq) provides the expression profiles of individual cells and is considered the gold standard for defining cell states and phenotypes as of 2020. [44] Although it is impossible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, gene expression ...

  3. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    Single-cell transcriptomics. Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the RNA concentration (conventionally only messenger RNA (mRNA)) of hundreds to thousands of genes. [1] Single-cell transcriptomics makes it possible to unravel heterogeneous cell ...

  4. 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 .

  5. CITE-Seq - Wikipedia

    en.wikipedia.org/wiki/CITE-Seq

    CITE-Seq. CITE-Seq (C ellular I ndexing of T ranscriptomes and E pitopes by Seq uencing) is a method for performing RNA sequencing along with gaining quantitative and qualitative information on surface proteins with available antibodies on a single cell level. [1] So far, the method has been demonstrated to work with only a few proteins per cell.

  6. List of RNA-Seq bioinformatics tools - Wikipedia

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

    Multi-tool solutions. [edit] DEB is a web-interface/pipeline that permits to compare results of significantly expressed genes from different tools. Currently are available three algorithms: edgeR, DESeq and bayseq. SARTools A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data.

  7. File:Single-cell RNA-Seq workflow.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Single-cell_RNA-Seq...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  8. 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 the field of cellular biology, single-cell analysis and subcellular analysis [1] is the study of genomics, transcriptomics, proteomics, metabolomics and cellcell interactions at the single cell level.

  9. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    Transcriptome. The transcriptome is the set of all RNA transcripts, including coding and non-coding, in an individual or a population of cells. The term can also sometimes be used to refer to all RNAs, or just mRNA, depending on the particular experiment. The term transcriptome is a portmanteau of the words transcript and genome; it is ...