Fios Genomics - Genomic and Bioinformatic Data Analysis Services

Fios Genomics provides an extensive range of bioinformatic data analysis services for pharma, CROs, and academic / clinical research for applications in drug discovery and development for both human and animal health. Our services include:

• Biomarker analysis
• Microarray analysis
• Next-generation sequence analysis
• Data mining and integration
• Proteomics and metabolomics
• Agricultural genomics

Our biomarker and microarray analysis services provide expert analysis, mining and interpretation of data from a variety of high-throughput genomic and proteomic technologies for applications including biomarker discovery and characterisation, pathway analysis, predictive toxicology, pharmacogenomics (patient stratification) and SNP genotype / DNA sequence data.

We also offer access to pre-clinical and clinical GLP laboratory services through our preferred wet lab partners.

Biomarker analysis

We employ a variety of data analysis approaches for discovery, characterisation and validation of genomic (RNA and DNA) and proteomic biomarkers. By combining our expertise in bioinformatic analysis of gene expression, next-generation sequencing, protein expression and epigenetic data with our extensive knowledge in therapeutic areas such as inflammation, immunology, oncology and infectious diseases, we can help you at every stage of the drug development process, from pre-clinical research to clinical development for identification of:

• Drug targets
• Biomarkers and toxicity response pathways for predictive toxicology
• Biomarkers for measurement of drug efficacy and mechanism of action
• Predictive biomarkers for stratification / classification of patient response to drug
• SNP genotype / DNA sequence analysis for detection of novel SNPs implicated in disease or response to drugs

Microarray analysis services

Fios Genomics offers a range of bespoke data analysis solutions for a variety of microarray applications from most commercial (Affymetrix, Illumina, Agilent, RocheNimblegen) and custom microarray platforms:

• Gene expression: enables identification of key differences in gene expression and biological pathways in response to drug treatment or disease
• Epigenetic and miRNAs: DNA methylation and miRNA profiling, and ChIP-on-chip analysis for identification of factors regulating the expression of genes or biomarkers implicated in disease or drug response
• SNP genotyping, CNV and linkage analysis: a full range of SNP genotype analysis services including SNP filtering, linkage disequilibrium, haplotype analysis, genotype calling, genome-wide association studies (GWAS) and copy number variation (CNV) analysis to identify genetic variability, linkage and association in disease or drug response
• RNAi: differential gene expression, target selection and siRNA off-target analysis

Next-generation sequence analysis (NGS)

Next-generation sequence (NGS) analysis enables an individual's entire genome to be assessed for transcriptomes or the level of variation (polymorphism). Fios Genomics offers a comprehensive range of services for the analysis of data from the latest NGS technologies (Illumina, SOLiD, 454):

• RNA-seq: for whole transcriptome sequencing to identify differentially expressed genes
• Exome analysis: for identification of known and novel SNPs and indels
• Genome-wide association studies: to facilitate discovery of SNPs implicated in disease
• ChIP-seq: analysis of DNA-protein interactions
• Methyl-seq: bisulfite sequencing for epigenetic studies

Data mining and integration

We can integrate, extract and mine data from a variety of analytical approaches which is considerably more powerful than each approach on its own:

• Further data mining: pathway overlay of clusters can identify important targets and biological signatures of functional relevance
• mRNA and miRNA: can identify statistically significant changes in miRNA levels that might have an effect on expression of genes in pathways implicated in a disease or response parameter of interest
• mRNA and SNPs / indels: can identify where SNPs / indels correlate with the effects on expression of related genes; e.g. SNPs could map to putative / novel enhancer regions, promoters or within coding regions

Proteomics and metabolomics services

We can provide analysis of data generated by state-of-the-art proteomics and metabolomics technologies, such as Shotgun LC-MS/MS, SELDI-TOF MS and MALDI-TOF MS and protein arrays. Using our knowledge of these powerful technologies and expertise in the computational sciences we can provide unparalleled services for the analysis and interpretation of proteomics and metabolomics data to facilitate:

• Biomarker identification
• Protein and metabolite identification and quantification
• Protein complex identification
• Protein discovery
• Protein and metabolite profiling

Agricultural genomics

Animal and plant genomics and genetics play a significant role in vaccine and therapeutics development, breeding and selection for meat quality, milk production and pest resistance. The same principles and methods for identifying SNPs and biomarkers in human data can be applied to livestock (sheep, pig, cow and poultry) and plant data. The benefits for the agricultural industry are enormous.

We offer a range of services tailored to animal and plant genomic data from the custom design and annotation of new microarrays, exploration of gene expression profiles (microarray or next-generation sequence based), and/or linkage / association analysis of a trait within a population.