Exploit the potential of the genes
Related Omics Tools
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?
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 http://greenc.sequentiabiotech.com
Code 0 discovers, deciphers and annotates lncRNAs in any genome or transcriptome of interest, which are then stored in our GreenC database.
What can you expect from us
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.