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  2. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-nucleotide polymorphisms (SNPs), which are a big part of genetic variation in the human genome, and copy number variation (CNV), pose problems in single cell sequencing, as well as the limited amount of DNA extracted from a single cell. Due to scant amounts of DNA, accurate analysis of DNA poses problems even after amplification since ...

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

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

    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.

  4. 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.

  5. 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 ...

  6. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    Detecting differences in gene expression level between two populations is used both single-cell and bulk transcriptomic data. Specialised methods have been designed for single-cell data that considers single cell features such as technical dropouts and shape of the distribution e.g. Bimodal vs. unimodal. [23]

  7. Tcr-seq - Wikipedia

    en.wikipedia.org/wiki/Tcr-seq

    TCR-Seq (T-cell Receptor Sequencing) is a method used to identify and track specific T cells and their clones. [1] TCR-Seq utilizes the unique nature of a T-cell receptor (TCR) as a ready-made molecular barcode. [1] This technology can apply to both single cell sequencing technologies and high throughput screens [1]

  8. Phred quality score - Wikipedia

    en.wikipedia.org/wiki/Phred_quality_score

    Phred quality scores shown on a DNA sequence trace A Phred quality score is a measure of the quality of the identification of the nucleobases generated by automated DNA sequencing . [ 1 ] [ 2 ] It was originally developed for the computer program Phred to help in the automation of DNA sequencing in the Human Genome Project .

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

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

    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.