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Here, mRNA serves as a transient intermediary molecule in the information network, whilst non-coding RNAs perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a cell. Transcriptomics technologies provide a broad account of which cellular processes are active and which are dormant.
When treating categorical variables such as ethnic groups and experimental treatments as independent variables in moderated regression, one needs to code the variables so that each code variable represents a specific setting of the categorical variable. There are three basic ways of coding: dummy-variable coding, contrast coding and effects coding.
Annotation of eukaryotic genomes has an extra layer of difficulty due to RNA splicing, a post-transcriptional process in which introns (non-coding regions) are removed and exons (coding regions) are joined. [23] Therefore, eukaryotic coding sequences (CDS) are discontinuous, and, to ensure their proper identification, intronic regions must be ...
In bacteria, the coding regions typically take up 88% of the genome. [1] The remaining 12% does not encode proteins, but much of it still has biological function through genes where the RNA transcript is functional (non-coding genes) and regulatory sequences, which means that almost all of the bacterial genome has a function. [1]
The roles of non-coding RNAs: Ribonucleoproteins are shown in red, non-coding RNAs in blue. A non-coding RNA ( ncRNA ) is a functional RNA molecule that is not translated into a protein . The DNA sequence from which a functional non-coding RNA is transcribed is often called an RNA gene .
Expression is quantified to study cellular changes in response to external stimuli, differences between healthy and diseased states, and other research questions. Transcript levels are often used as a proxy for protein abundance, but these are often not equivalent due to post transcriptional events such as RNA interference and nonsense-mediated ...
Dummy variables are commonly used in regression analysis to represent categorical variables that have more than two levels, such as education level or occupation. In this case, multiple dummy variables would be created to represent each level of the variable, and only one dummy variable would take on a value of 1 for each observation.
In 2005 the landscape of the mammalian genome was described as numerous 'foci' of transcription that are separated by long stretches of intergenic space. [9] While some long ncRNAs are located within the intergenic stretches, the majority are overlapping sense and antisense transcripts that often include protein-coding genes, [23] giving rise to a complex hierarchy of overlapping isoforms. [24]