RNA-Seq Data Analysis
Unleash the power of your RNA-Seq Data with Metisox’s Precision Insight AI Tools. Metisox is the leading provider of transcriptome bioinformatic data analysis. Let us look after your transcriptome raw data and provide you with detailed data analysis and expert data-interpretation with pharmacogenetic significance. Your data can be from different sequencing platforms, different samples and/or different sequencing depths. Our platform capabilities will maximise the mining of your data and provide you with data and interpretations you can trust.
The transcriptome is spatial, temporal and considerably more complicated than the genome, which is why artificial intelligence is required for understanding and interpreting the data generated from your RNA-Seq experiment(s). Metisox’s analysis and interpretation of your transcriptome data will help you to understand the function of unknown genes and reveal the mechanism of action of specific regulatory genes. In addition to this, quantitative analysis of transcripts elucidating the activity of specific genes can be used in the diagnosis and treatment of diseases.
Whole Transcriptome Analysis
Coding & Non-Coding RNAs
Exosomal RNA Sequencing Analysis
Novel Biomarker Discovery
Gene Expression to Complex Trait Analysis
Eukaryotic/Prokaryotic transcriptome analysis
Simplifying Deep Sequencing Datas
Full-length transcriptome analysis
Accurately distinguish isoforms
Small/circular/long non-coding RNA analysis
Explore molecular mechanism
Access our Webinar on: Gene expression analysis in your toxicology studies
Are you considering gene expression analysis as part of your toxicology study? In this webinar you will learn about:
- Key considerations for gene expression analysis in toxicology studies
- How can gene expression analysis be used to define compound toxicity
- What do the observed toxicological effects highlight and how reliable are they for making informed decisions?
Access our Webinar on: How to choose the right cell assays for your toxicology studies
In this webinar you will learn about:
- How do you decide the best cell type?
- How comparable is your cell type to your patient population and target tissue?
- What are the observed toxicological effects and how reliable are they for making informed decisions?
Metisox RNA-Seq Report
State of the Art Artificial Intelligence Analysis Tools includes:
Prediction of novel transcripts
Unique expression linkage from proprietary clinical database(s)
Predicted therapeutic outcomes
Statistical analysis, annotation and curation of SNPs/Indels
Biostatistical analysis: multi-parameter data analysis, transcript length distribution, copy number analysis
Alternative splicing analysis
Executive summary and project recommendations based on therapeutic stage
Data & Cleanup
Remove low quality reads & adapters
Remove low quality reads & adapters
Map to Genome & Assembly
Map to reference genome & assemble transcripts
Differentially Expressed mRNAs
Pharmacological Mechanisms & Analysis Summary
Detailed Biological Pathways Analysis
Therapeutic / Development Actions & Recommendations
Therapeutic Knowledge Base Readouts
Unleash the power of your RNA-Seq data and add Precision Insights to fully understand the biological mechanism of your pathway or target of interest. Metisox connects multiple large proprietary databases (containing >100k terms) and AI platforms across all of the major therapeutic areas to provide you with detailed biological Precision Insights.
Oncology & Immuno-oncology
Infectious Disease (i.e. COVID)
Rare Disease & Orphan Drugs
Diabetes, Endocrine, Metabolic
Neuroscience & CNS
Respiratory, Lung & Pulmonary