Single Cell RNA-Seq Analysis


Single-cell RNA-Seq measures the RNA molecules within each cell of a given sample. This information provides a snapshot of the transcriptome when the cells were collected. The data allows researchers study the transcriptome of different cells within the same tissue type.

The analysis after Single Cell RNA-Seq can include, but is not limited to, the following:

  • Sequencing and mapping quality control.
  • Alignment of reads against reference genome.
  • Quantification of gene expression at the single cell level.
  • Reduction of data dimensionality.
  • Clustering or division of cells into different groups and subgroups.
  • Differential gene expression analysis.
  • Study of the evolutionary pattern or cell maturation (Velocity or Trajectory Analysis).
  • Enrichment study of gene ontologies and pathways.

Providers offering Single Cell RNA-Seq Analysis (found 1)


Dreamgenics

NGS provider Spain

Dreamgenics is a biotech company that offers bioinformatics analysis services for genomic, transcriptomic and metagenomic NGS data using our Genome One software. Genome One (CE-IVD certified) is an advanced tool that allows the integration of all the bioinformatics solutions required for the study, including read alignment, variant calling and annotation. Our analyses identify high-quality genomic variants through high sensitivity and specificity standards, extracting important biological information and reducing validation costs. The services that we offer are the following: WGS, WES, Gene panels, Transcriptomics (RNA-Seq) and Metagenomics. Additionally, we hand in the results using our web viewer Genome One Reports (https://www.dreamgenics.com/en/genome-one/).

The use of our bioinformatics tools allows us to offer you high-quality results in a fast and simple way. By using our analysis services, you considerably reduce costs and the investment in technological devices, informatics and qualified professionals.

Lastly, we are an ISO 9001:2015, UNE-EN ISO 13485:2018 and UNE-ISO/IEC 27001:2017 certified company which represents our commitment to provide our customers with products and services that meet the most demanding quality standards.

Years in service: 12

Other services offered by Dreamgenics:

Service Description Price
Single Cell RNA-Seq Analysis We offer Single cell RNA-Seq bioinformatic analysis from FASTQ files including: - Sequencing and mapping quality control. - Alignment of reads against reference genome. - Quantification of gene expression at the single cell level. - Reduction of data dimensionality. - Clustering or division of cells into different groups and subgroups. - Differential gene expression analysis. - Study of the evol… $200.00 USD (per sample)
Differential Gene Expression Analysis Our RNA-Seq analysis includes: Quality control, Alignment, Quantification of gene expression, Differential gene expression analysis and Enrichment study of gene ontologies and pathways. It can also include the study of isoforms generated in alternative splicing events and the identification of other RNAs (smallRNAs and ncRNAs)*. We will deliver the results to the Genohub data bucket as well as t… $90.00 USD (per sample)
Exome Analysis Our bioinformatics analysis includes: Quality control, Alignment, Detection of high quality variants (SNVs, translocations and CNVs), Filtering of common variants, Annotation of variants obtained with multiple databases and prediction algorithms and Comparison between samples and extraction of recurrent variants. We will deliver the results to the Genohub data bucket as well as through our platf… $80.00 USD (per sample)
Transcriptome Annotation Our RNA-Seq analysis includes: Quality control, Alignment, Quantification of gene expression, Differential gene expression analysis and Enrichment study of gene ontologies and pathways. It can also include the study of isoforms generated in alternative splicing events and the identification of other RNAs (smallRNAs and ncRNAs)*. We will deliver the results to the Genohub data bucket as well as t… $90.00 USD (per sample)