CD Genomics Blog

Explore the blog we’ve developed, including genomic education, genomic technologies, genomic advances, and genomics news & views.

The transcriptome is the set of all RNA molecules, including mRNA, rRNA, tRNA, as well as other non-coding RNA produced in one or a population of cells. It is different from the exome because it includes only those RNA molecules found in a specified cell population, and usually includes the amount or concentration of each RNA molecule in addition to the molecular identities.

RNA Next-generation sequencing methods have revolutionised the exploration of the transcriptome. Advances on the sequencing workflow, from sample preparation through data analysis, enable rapid profiling and deep investigation of the transcriptome.The application of next-generation sequencing technology to study the transcriptome at the nucleotide level is called RNA-Seq.

With the next-generation sequencing technology, you can characterize all transcriptional activities, both coding and non-coding, in any organism with no prior assumptions. This allows the identifications of regulatory RNAs, annotations of coding SNPs, determinations of the relative abundance of transcripts,and more.

CD Genomics proprietary GenSeqTM Technology provides comprehensive transcriptomics sequencing services and the bioinformatics expertise which is vital to conduct extensive analysis of the RNA-Seq data.

The transcriptome is the whole set of transcripts in a cell or whole organism, for a specific developmental period or physiological situation. Transcriptomic Data Analysis involves characterization of all transcriptional activities (coding and non-coding), or a select subset of RNA transcripts in a given sample. The analysis of transcriptomes assists the identification of candidate genes and of expressed markers related to traits of interest. CD Genomics offer The transcriptome is the set of all RNA molecules, including mRNA, rRNA, tRNA, as well as other non-coding RNA produced in one or a population of cells. It is different from the exome because it includes only those RNA molecules found in a specified cell population, and usually includes the amount or concentration of each RNA molecule in addition to the molecular identities. RNA Next-generation sequencing methods have revolutionised the exploration of the transcriptome. Advances on the sequencing workflow, from sample preparation through data analysis, enable rapid profiling and deep investigation of the transcriptome.The application of next-generation sequencing technology to study the transcriptome at the nucleotide level is called RNA-Seq. With the next-generation sequencing technology, you can characterize all transcriptional activities, both coding and non-coding, in any organism with no prior assumptions. This allows the identifications of regulatory RNAs, annotations of coding SNPs, determinations of the relative abundance of transcripts,and more. CD Genomics proprietary GenSeqTM Technology provides comprehensive transcriptomics sequencing services and the bioinformatics expertise which is vital to conduct extensive analysis of the RNA-Seq data. The transcriptome is the whole set of transcripts in a cell or whole organism, for a specific developmental period or physiological situation. Transcriptomic Data Analysis involves characterization of all transcriptional activities (coding and non-coding), or a select subset of RNA transcripts in a given sample. The analysis of transcriptomes assists the identification of candidate genes and of expressed markers related to traits of interest. CD Genomics offer the following genomic data analysis services: 1.Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis 2.RNA-Seq (mRNA) Data Analysis 3.Small RNA Resequencing Data Analysis Learn more about CD Genomics. the following genomic data analysis services:

1.Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis

2.RNA-Seq (mRNA) Data Analysis

3.Small RNA Resequencing Data Analysis

Learn more about CD Genomics.

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