Services to researchers and companies

Genomics Platform

Advanced sequencing techniques

Undergoes rigorous quality controls to favor the biological result corresponding to each application or experiment

Protocols for RNA-seq: application usage recommendation and benefits
Stranded Full-length RNAseq mRNA prep

Whole transcriptome analysis of polyA+ RNA with strand orientation information.

  • Analysis of coding and non-coding polyA+ RNAs with measurement of strand orientation.
  • Uniform coverage and high-confidence feature discovery (e.g. alternative transcripts, gene fusions, allele-specific expression, splicing variants).
Stranded Full-length RNAseq total prep with ribo-zero plus

Whole transcriptome analysis of total RNA with strand orientation information.

  • Sensitivity and reliability for low input material.
  • Some level of RNA degradation can be tolerated (e.g. FFPE samples).
  • Analysis of coding and non-coding RNAs with measurement of strand orientation.
  • Uniform coverage and high confidence feature discovery (e.g. alternative transcripts, gene fusions, allele-specific expression, splicing variants).
  • Translated with DeepL.com (free version)
Stranded Full-length RNAseq total prep with ribo-depletion (low/ultra-low input)

Whole transcriptome analysis of total RNA with strand orientation information.

  • Sensitivity and reliability for low/ultra-low input material (250 pg - 10ng, >1500 cells).
  • Use of unique molecular identifiers (UMI).
  • Some level of RNA degradation can be tolerated.
  • Analysis of coding and non-coding RNAs with measurement of strand orientation.
  • Uniform coverage and high-confidence feature discovery (e.g. alternative transcripts, gene fusions, allele-specific expression, splicing variants).
Small RNAseq

Small RNA transcriptome analysis (15-150 nt)

  • Small RNA analysis (miRNAs, siRNAs, piRNAs, snoRNAs).
  • Sensitivity and reliability for low input material (total RNA or enriched small RNA, 1 ng-2 μg).
Protocols for DNA-seq: recommended application usage
Whole Exome Sequencing (WES)

Detection of genetic variants related to disease or phenotype in the coding region of the human (hWES) or mouse (mWES) genome.

  • Depth: a standard depth of 100X is offered, with the possibility to increase or decrease according to user preference.
Whole Genome Sequencing (WGS)

Detection of genetic variants related to disease or phenotype in coding and non-coding regions of the human (hWGS) or mouse (mWGS) genome.

  • Depth: a standard depth of 30X is offered, with the possibility to increase or decrease according to user preference.
Ultra-low-pass whole-genome sequencing (ULP-WGS)

Detection of copy number alterations (CNA) and estimation of tumor fraction with low sequencing cost. 

  • Depth: a standard depth of <0.5X is offered, with the possibility of increasing or decreasing according to the user's preference.
DNAseq

Conversion of DNA obtained from a wide range of procedures, e.g. ChIP type procedures, amplicons, aptamer library, PCR products, into high quality libraries for NGS.

The Genomics platform allows sequencing of any type of libraries prepared and quantified by the user. Contact ngs_cima@unav.es to agree on the type of sequencing, timing and pricing.

Need help?

If you have questions or doubts about your samples, please contact us.

Technological service innovation

In the Genomics Platform, we are currently in the last phase of developing new techniques that are more sensitive and complementary to the ones we offer.

To find out if the Cima Genomics Unit offers the library preparation or sequencing technology you need, please contact us.

How to submit a paper to the Genomics Platform?

STEP 1: Quotation and inquiries

To request a quote, discuss the project, questions, or more information about our services, you can contact us by sending an email to ngs_cima@unav.es.

STEP 2: Order

Descargar las recomendaciones para la preparación de las muestras y el formulario de pedido. Rellenar y enviar el documento a ngs_cima@unav.es.

STEP 3: Sample reception

Deliver the samples to the laboratory 1.41-1.43 (CIMA Building, floor 1).

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  • If you wish the sequencing data to be analyzed by the Cima Bioinformatics Platform, you should also contact Mikel Hernáez.