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  2. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    Transcriptomics has been characterised by the development of new techniques which have redefined what is possible every decade or so and rendered previous technologies obsolete. The first attempt at capturing a partial human transcriptome was published in 1991 and reported 609 mRNA sequences from the human brain . [ 2 ]

  3. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    Two biological techniques are used to study the transcriptome, namely DNA microarray, a hybridization-based technique and RNA-seq, a sequence-based approach. [1] RNA-seq is the preferred method and has been the dominant transcriptomics technique since the 2010s.

  4. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    Another class of methods (e.g., scDREAMER [34]) uses deep generative models such as variational autoencoders for learning batch-invariant latent cellular representations which can be used for downstream tasks such as cell type clustering, denoising of single-cell gene expression vectors and trajectory inference.

  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 cell–cell interactions at the level of an individual cell, as opposed to more ...

  6. Functional genomics - Wikipedia

    en.wikipedia.org/wiki/Functional_genomics

    The latter comprise a number of "-omics" such as transcriptomics (gene expression), proteomics (protein production), and metabolomics. Functional genomics uses mostly multiplex techniques to measure the abundance of many or all gene products such as mRNAs or proteins within a biological sample. A more focused functional genomics approach might ...

  7. RNA timestamp - Wikipedia

    en.wikipedia.org/wiki/RNA_timestamp

    An RNA timestamp is a technology that enables the age of any given RNA transcript to be inferred by exploiting RNA editing. [1] In this technique, the RNA of interest is tagged to an adenosine rich reporter motif that consists of multiple MS2 binding sites.

  8. Phylogenetic inference using transcriptomic data - Wikipedia

    en.wikipedia.org/wiki/Phylogenetic_inference...

    Both methods attempt to generate biologically representative isoform-level constructs from RNA-seq data and generally attempt to associate isoforms with a gene-level construct. However, proper identification of gene-level constructs may be complicated by recent duplications, paralogs, alternative splicing or gene fusions. These complications ...

  9. Omics - Wikipedia

    en.wikipedia.org/wiki/Omics

    Sampling methods focused on collecting representative samples of the local environment, either from oral swabs or stool. [ 19 ] Culturomics (microbiology) is the high-throughput cell culture of bacteria that aims to comprehensively identify strains or species in samples obtained from tissues such as the human gut or from the environment .