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The transcriptome is the set of all RNA ... Transcriptome-obtained data also finds applications in establishing phylogenetic relationships during the process of ...
A human transcriptome could be accurately captured using RNA-Seq with 30 million 100 bp sequences per sample. [85] [86] This example would require approximately 1.8 gigabytes of disk space per sample when stored in a compressed fastq format. Processed count data for each gene would be much smaller, equivalent to processed microarray intensities.
When selecting or generating sequence data, it is also vital to consider the tissue type, developmental stage and environmental conditions of the organisms. Since the transcriptome represents a snapshot of gene expression, minor changes to these conditions may significantly affect which transcripts are expressed. This may detrimentally affect ...
The data from bulk assays has led to identifying genes differentially expressed in distinct cell populations, and biomarker discovery. [ 3 ] These studies are limited as they provide measurements for whole tissues and, as a result, show an average expression profile for all the constituent cells.
The main advantage of RNA-Seq data in this kind of analysis over the microarray platforms is the capability to cover the entire transcriptome, therefore allowing the possibility to unravel more complete representations of the gene regulatory networks.
NEUMA uses known transcriptome data available in databases like RefSeq. NOISeq NOISeq is a non-parametric approach for the identification of differentially expressed genes from count data or previously normalized count data. NOISeq empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute ...
Transcriptome is the set of all RNA molecules, including mRNA, rRNA, tRNA, and other non-coding RNA, produced in one or a population of cells. Transcriptomics: Study of transcriptomes, their structures and functions.
Those data are often used for either cellular phenotype classification or new subpopulation identification. [66] The final step of the platform is the sequencing. Libraries generated can be directly used for single cell whole transcriptome sequencing or target sequencing workflows. The sequencing is performed by using the Illumina dye ...
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