Exploit the potential of the genes


Pure transcriptomics

  • De novo transcriptome assembly
  • Reference Guided Transcriptome Assembly
  • Gene Expression Network Analysis


  • Differential expression analysis of genes and transcripts
  • Identification of alternative splicing
  • Identification of gene fusions and chimeric transcripts


  • Functional annotation of genes (GO and metabolic pathways)
  • Gene Ontology Enrichment Analysis
  • Annotation of lncRNAs, sORFs, cRNAs

Custom analysis

  • Variant calling (SNPs, InDels)
  • Integration with Epigenomics and Genomics data
  • Any custom analysis

Related Omics Tools

Air logo


AIR, Artificial Intelligence RNAseq, is the most revolutionary software to run transcriptomics experiments.

AIR is fast, secure, intuitive, and will manage your data in real-time.

Thanks to our powerful cloud we created a software able to perform automatic Differential gene expression analysis with the same precision as a human curated one. It will leave you speechless.

AIR can answer several questions:

  • Which genes are differentially expressed across my samples?
  • Which is the function of the differentially expressed genes across my samples?
  • Are my samples characterised by a specific transcriptome expression profile?

Try Now!

Code 0 and Green C Logo

Code 0 and Greenc

Long non-coding RNAs (lncRNAs) are functional non-translated molecules longer than 200 nucleotides with diverse roles transcriptional regulation and conformational changes in proteins.

Code 0 is available at

Code 0 discovers, deciphers and annotates lncRNAs in any genome or transcriptome of interest, which are then stored in our GreenC database.

Request a Quote

What can you expect from us

Integrated project management: from experiment design to data interpretation

High data privacy and security

Curated output to quickly reach the scientific goal

Fast production of results

Private IT infrastructure and cloud systems

Custom workflows

Up-to-date scientific knowledge

A mixed approach of unique well-referenced and published bioinformatics methods

The study of the set of genes of a genome is a fundamental step in understanding its biological processes and functions. This is now possible thanks to transcriptomics and the new sequencing technologies that allow us to know all of an organism’s genes in detail, in specific conditions and tissues.

At Sequentia, we have pipelines that integrate the latest bioinformatics processes in this field through which we quickly identify genes, transcripts and splicing variants, paying attention to their functions and organisation using molecular networks. Our pipelines are used in both model organisms and new species to which they can incorporate the transcriptome, even if there is no reference genome, or species with partial annotations (Reference Guided Transcriptome Assembly).

On the other hand, the development of new algorithms to reconstruct transcripts has enabled us to create specific pipelines to record and study types of RNA such as lncRNAs, sORFs and cRNAs, in addition to identifying genetic fusions.

By combining the methods we use, we can integrate data from separate research and create software solutions to independently preserve, display and integrate the analyses.

Keep in touch



We're not around right now. But you can send us an email and we'll get back to you, asap.


Log in with your credentials

Forgot your details?