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Fios Genomics

Fios Genomics is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country and 1 service area.

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Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: Small business

Agricultural Sciences Research & Development

  • DNA/Protein analysis Analyze DNA and proteins for allergens, pathogens and species identification.
  • Soil Science Test for microbial inoculants that promote plant health

Antibodies

  • Antibody Sequencing Sequence cDNA encoding variable heavy (VH) and variable light (VL) domains of a hybridoma cell line.

Bioimaging

  • Mass Spectrometry Imaging Visualize the spatial distribution of molecules, as biomarkers, metabolites, peptides or proteins by their molecular masses

Biomarkers

  • Adipogenesis Assay Detect and quantify intracellular triglyceride accumulation in adipocytes.
  • Basic Metabolic Profiling Set up assays that monitor drug metabolite formation after administration of drug to an animal model or patient.
  • Biomarker Analytical Validation Assess and optimize the characteristics of a candidate biomarker to ensure reproducibility and consistency.
  • Biomarker Discovery Identify a biomarker associated with disease progression of disease, effectiveness of therapy or diagnosis of disease or condition.
  • Biomarker Services Evaluating normal/abnormal biological conditions and characteristics within the body
  • Cell Membrane Lipidomics Study the pathways and networks of membrane lipids.
Show all 29 in Biomarkers 23 more
  • Cytogenetics Examine the structure and function of the cell, especially chromosomes.
  • Diagnostic Biomarkers Discovery Identify candidate biomarkers indicative of the presence of a disorder.
  • Digital Biomarkers Objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices such as portables, wearables, implantables, or digestibles.
  • Epigenetics Epigenetics sits at the cutting edge of drug discovery. The ability to modify genomes without changing any sequences with methylation.
  • Flow Cytometry Identify fluorescently-labeled cells or physically separate cells from a larger population using biomarkers.
  • Genomics Genomic services including applications to DNA (*sanger sequencing, whole genome amplification, library screening, cloning, sub-cloning, and DNA isolation*) and RNA (*microRNA analysis, RNA isolation, qRT-PCR, mRNA...
  • Lipid Kinase Assays Use biochemical, cell-based or in vivo assays to measure lipid kinase activity.
  • Lipid Profiling Use quantitative analysis of blood lipid components to assess cardiac risk.
  • Metabolomics Biomarker Discovery Identify and quantitate metabolite biomarkers in blood, urine, CSF and bodily fluids.
  • Microbiome Services Examine the community of commensal, symbiotic, and pathogenic microorganisms that make up the microbiome.
  • Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
  • Olink Proteomics Olink Proteomics is an innovative platform for high-throughput protein biomarker discovery
  • Pharmacodynamic Biomarkers Discovery Identify candidate biomarkers indicative of the therapeutic outcome of a drug-target interaction.
  • Predictive Biomarkers Discovery Identify candidate biomarkers suggestive of a response to a treatment.
  • Prognostic Biomarkers Discovery Identify candidate biomarkers representative of disease progression without treatment.
  • Protein Bioanalysis Quantitative measurement of xenobiotics (drugs and their metabolites, and biological molecules in unnatural locations or concentrations) and Proteins in biological systems
  • Protein Tomography Visualize individual proteins or complexes in three dimensions using COMET (Constrained Maximum Entropy Tomography) software.
  • Single Cell Isolation Isolate single cells for subsequent single-cell analysis.
  • Single Cell quantitative Real Time-PCR Assess gene expression levels and patterns in a single cell.
  • Single Cell Transcriptome Sequencing Detect distinct, rare or abnomal cell types in a heterogenous population.
  • Spatial Metabolomics The study of the spatial distribution and localization of metabolites within biological tissues using advanced imaging and analytical techniques.
  • Stem Cell Analysis Assess hematopoietic, neural and mesenchymal cell progenitor proliferation and differentiation.
  • Whole Transcriptome Amplification Amplify total RNA from a single cell.

Cell Culture and Characterization

  • Microphysiological Systems/organoid transcriptomics Microphysiological Systems/organoid transcriptomics
  • Signaling Pathways Find proteins, assays and custom reagents for the analysis of cell signaling pathways.
  • Single Cell DNA Sequencing Examine genetic variations in a single cell.
  • Single Cell Services Request services to perform genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level
Show all 164 services 150 more

Chemical and Compound Testing

  • Nutritional Testing Analyze food safety, vendor specifications, foreign substance identification processes and nutritional labeling.

Clinical Consulting

  • Study Budgeting Consulting Request for Consulting Services

Clinical Trials

  • Pharmacokinetic Studies Design a study that observes the time course of drug absorption, distribution, metabolism, and excretion, as means to test the safety and effective therapeutic management of drugs in an individual patient.

Data Science/Bioinformatics

  • Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
  • Clinical Data Analysis Analysis that helps you make sense of your clinical data
  • Clinical In Silico Drug Dynamics The process to understand drug dynamics by computer analysis and simulation.
  • Clinical In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
  • Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
  • Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Show all 23 in Data Science/Bioinformatics 17 more
  • Discovery Data Analysis Analysis that helps you make sense of your discovery data
  • Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
  • Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
  • Discovery Data Science and Modeling A process that helps make sense of your discovery data
  • Discovery Databases Databases specifically designed for drug discovery use.
  • Discovery Drug Response Simulation Analytics Simulation of how a drug responds in different environments, from molecular to population studies.
  • Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
  • Discovery In Silico Proteome Analysis Used to understand the global protein environment, specifically drug-protein interactions.
  • Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
  • Discovery Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
  • Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
  • Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
  • In Silico Cancer Genomics/Cancer Transcriptomics Analysis Interpret DNA sequencing and microarray data for cancer studies.
  • In Silico Protein Microarray Analysis Use software to visualize and evaluate protein function and expression on a large scale.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • Translational In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
  • Translational Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...

Discovery Chemistry

  • LCMS Analysis Physically separate substances using liquid chromatography and mass spectrometry.

Disease Models

  • Blood Models Test for therapeutic efficacy of drug candidates in blood disorder models.
  • Microbiome-Based Skin Disease Technology Modify the skin microbiome and deliver therapeutic proteins to the target.

DNA & RNA

  • Amplicon 16s rRNA Sequencing Identify and compare bacteria present within a given sample.
  • ChIP-Sequencing Use chromosome immunoprecipitation to identify DNA-protein binding sites in a genome.
  • ChIP-sequencing Profiling Identify where a protein is binding to DNA on a genome-wide scale.
  • Chromatin Interaction Analysis-Paired End Tag Sequencing Sequence DNA using Chromatin Conformation Capture (3C) together with Chromatin Immunoprecipitation (ChIP).
  • De Novo Genome Sequencing Determine the DNA sequence of uncharacterized genomes.
  • De Novo Transcriptome Sequencing Identify new genes without the need for a reference genome sequence.
Show all 37 in DNA & RNA 31 more
  • Degradome Sequencing Use parallel analysis of RNA ends (PARE) to detect miRNA targets and analyze patterns of RNA degradation.
  • DNA Sequencing Determine the nucleotide sequence of DNA samples.
  • DNA Synthesis Produce DNA fragments for microarrays, PCR, cloning and expression studies.
  • DTG-Seq™ Evaluate the efficiency and distribution of CRISPR mutations at on-target sites.
  • Exome Sequencing Determine protein-coding nucleotide sequences in a DNA sample.
  • Expression Profiling Measure the the expression of thousands of genes at once to create a global picture of cellular function.
  • Integrated Genomics Package Process an entire Genomics Pipeline Project including: Sample Preparation, Target Enrichment, NGS Instrumentation, and Data Analysis from our Bundle of Suppliers
  • Linear Based RNA Amplification Perform rapid non-PCR RNA amplificaton.
  • Long Read Sequencing Long read sequencing is used in genomics to sequence long fragments of DNA, enabling the ability to span complex regions of the genome.
  • Metagenomic Sequencing Sequence genetic material recovered directly from environmental samples
  • miRNA sequencing Identify miRNAs by Next Generation Sequencing and bioinformatic analysis.
  • mtDNA Sequencing Use next-generation sequencing (NGS) technology to detect and analyze mitochondrial mutations.
  • NGS: Next Generation Sequencing Sequence millions of template DNA molecules in parallel.
  • RNA Amplification Produce RNA from pre-clinical and clinical samples for use in gene expression studies.
  • RNA Profiling Quantify the expression levels of mRNA transcripts, enabling the determination of gene expression patterns.
  • RNA Sequencing Use Next Generation Sequencing techniques to Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
  • RNA Sequencing/Resequencing Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
  • RNA Services Whether you’re isolating total RNA for whole genome expression analysis by microarray or setting up high content screening by s...
  • RNAi Pathway Analysis Use high-throughput RNAi genetic screens to elucidate relevant signaling pathways.
  • RNAseq and DNAseq library preparation and sequencing DNA/RNA sequencing and preparations
  • Sanger Sequencing Sequence single strand DNA fragments using DNA Polymerase.
  • Single Cell ATAC Sequencing Single Cell Assay for Transposase-Accessible Chromatin Sequencing is a genomic technique used to study the accessibility of chromatin at the single-cell level.
  • Single Cell RNA Sequencing Quantify mRNA variants in a single cell.
  • Spatial Transcriptomics Determine the sub-cellular localization of mRNA molecules. Use this to identify cellular heterogeneity in tissues, tumors, immune cells and the subcellular distribution of transcripts.
  • Target Gene Expression Measure expression of a target gene at the protein, RNA and DNA level.
  • Targeted Bisulphite Sequencing Reveal changes in DNA methylation associated with nuclear reprogramming.
  • Targeted Sequencing/Resequencing Detect variations in a genome subset.
  • TCR Repertoire Sequencing Analyze the T cell receptor repertoire by means of next-generation sequencing.
  • Total RNA Sequencing Identify novel RNA transcripts and detect gene expression changes.
  • Whole Genome Bisulphite Seq Profile genome-wide DNA methylation.
  • Whole Genome Sequencing Determine the entire genetic make-up of an organism.

Drug Development

  • Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data

Farm & Livestock Solutions

  • Herd Productivity Improving reproductive efficiency, productions yields, maintenance of healthy animals by routine biosecurity screening and testing.
  • Virology Virus isolation for identification of new and emerging viruses.

HEOR

  • Systematic Literature Review Summarizes the results of research (that meet pre-defined eligibility criteria for inclusion) and provides a high level of evidence on the outcomes assessed.

Human Biological Samples

  • Custom PDX models For requesting Custom PDX models
  • Human DNA & RNA Acquire fresh/frozen Human DNA & RNA based on patient demographics, disease stage, treatment and history
  • Human RNA Acquire fresh/frozen Human RNA based on patient demographics, disease stage, treatment and history.

In Vitro ADME

  • Metabolite Generation Analyze the formation of drug metabolites after administration of drug to an animal model or patient.
  • Metabolite Identification Identify drug metabolites that are formed after administration of drug to an animal model or patient.
  • Metabolite Quantification Quantify drug metabolites formed after drug administration to an animal model or patient.
  • Metabolite Synthesis Synthesize drug metabolites that are formed after administration of drug to an animal model or patient.

In Vitro Assays

  • Cell Cycle Assays Measure cell cycle markers and the molecular events that control cell cycle progression.
  • Cell Proliferation Measure cell number, cell viability and cell division.
  • Glycomics Glycomics is the comprehensive study of glycans, in a biological system, such as a cell or organism
  • ImmunoSEQ Assay Unmask the identity of millions of T- and B-cell receptors in a single sample using bias-controlled multiplex PCR amplification, high-throughput sequencing, and sophisticated bioinformatics.
  • Lipid Detection Use in vitro methods to identify lipid droplets and any associated proteins.
  • OnTarget™ ctDNA Analysis Detect and monitor circulating tumor DNA in blood with OnTarget™ enrichment technology.
Show all 7 in In Vitro Assays 1 more
  • Pathway Mapping Define mechanisms of action by analyzing protein pathways affected by drug treatment.

In Vitro Pharmacology

  • Protein Kinase B (Akt) Assays Use biochemical, cell based or in vivo assays to measure Akt enzyme activity.
  • Protein Targets Protein Targets are of pharmaceutical interest for drug discovery purposes.
  • Target Identification Identify the target(s) of a biologically active substance.

Model Development

  • In Silico PK-PD Modeling Quantitative modeling and simulations correlation of pharmacokinetic and pharmacodynamic endpoints in support of preclinical and clinical development.

Oncology Models

  • Oncology Models Use model organisms to test the therapeutic efficacy of cancer drug candidates.

Protein Sciences

  • Cytokines Find recombinant cytokines or cytokine assays.
  • Integrated Proteomics Package Process an entire Proteomics Pipeline Project including: Sample Preparation, Target Enrichment, NGS Instrumentation, and Data Analysis from our Bundle of Suppliers
  • Low Density Lipoprotein (LDL) Uptake Assay Investigate low density lipoprotein uptake and regulation at the cellular level.
  • MAPPs (MHC-II-associated peptide proteomics) MAPPs, or MHC-II-associated peptide proteomics, is a mass spectrometry technique for identifying peptides from therapeutic proteins that are presented by MHC class II molecules on antigen-presenting cells.
  • Mass Spectrometry-Based Proteomics Detect histone post-translational modifications (hPTMs), histone variants, and interactomes at chromatin regions.
  • N-terminal Sequencing Determine the amino acid sequence of an intact protein from its N-terminus.
Show all 18 in Protein Sciences 12 more
  • Peptide/Protein Products Purchase off-the-shelf protein or peptide products.
  • Protein Conjugation Create tagged monoclonals, polyclonal and recombinant proteins.
  • Protein Expression Produce recombinant proteins in prokaryotic or eukaryotic systems.
  • Protein Expression In Plant Cells Express recombinant proteins in plant cells.
  • Protein Identification Uncover or confirm the identity of a protein.
  • Protein Interaction Measure the interaction of a protein to other macromolecules or peptide ligands.
  • Protein Labeling Find suppliers who offer attaching detectable tags like fluorophores or enzymes to proteins
  • Protein mapping Interrogate the entire sequence of a protein.
  • Protein Post-translational Modification Analysis Measure glycosylation, phosphorylation, sulfation, ubiquitination, methylation and acetylation.
  • Protein Sequencing Determine the amino acid sequence of protein or peptide.
  • Proteomics Do large-scale experimental analysis of proteins focused on understanding structure and function.
  • Recombinant Proteins Use recombinant DNA to produce proteins in vivo or in vitro.

Real World Evidence & Data

  • Predictive Analytics Variety of statistical techniques from data mining, predictive modeling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
  • RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
  • Secondary Real World Evidence Analyze clinical trial data.

Scientific Data Services

  • Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
  • Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
  • Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
  • Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
  • Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
Show all 16 in Scientific Data Services 10 more
  • In Silico Genomics/Transcriptomics Data Analysis Interpret DNA sequencing and microarray data.
  • In Silico Metagenomics/Metatranscriptomics Data Analysis Use software to analyze genomic information from multiple environmental sources.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • Metabolomics Data Analysis Use metabolites to identify any potential biomarkers or novel therapeutic targets that may play a role in the mechanisms responsible for the progression of a disease.
  • Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
  • Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
  • Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
  • Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Small RNA Gene Expression Quantify and analyze miRNA, piRNA, siRNA as well as other small nuclear RNAs from small-RNA-seq raw input data sets.

Other services

  • Transcriptome In Vivo Analysis (TIVA) Use TIVA for photo-activated capture of mRNA from a single cell or sub-cellular region.

Service areas:

Biology

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United Kingdom Edinburgh 1 site

Source: Scientist.com supplier network (site locations)

About this supplier

In the supplier's own words, as listed in the Scientist.com network.

Fios are a bioinformatics service provider that can help overcome challenges in use and integration of ‘omics technologies; Namely microarrays, NGS, proteomics, metabolomics & metagenomics and the integration of data from non-omics technologies. Using a combined in-house resource of bioinformaticians, computational biologists and statisticians we can help you get more information from the ‘omic experiments you currently perform or help you integrate these technologies into your development pipelines. We specialize in the biological interpretation and pathway analysis of high dimension, high...

Show the full description

Fios are a bioinformatics service provider that can help overcome challenges in use and integration of ‘omics technologies; Namely microarrays, NGS, proteomics, metabolomics & metagenomics and the integration of data from non-omics technologies.

Using a combined in-house resource of bioinformaticians, computational biologists and statisticians we can help you get more information from the ‘omic experiments you currently perform or help you integrate these technologies into your development pipelines.

We specialize in the biological interpretation and pathway analysis of high dimension, high variance datasets to aid biomarker ID, predictive toxicology, genotyping, proof of concept, biosimilar/bioequivalence studies, patient stratification, repurposing strategies and biological production process development/improvement for pharmaceutical companies, CMOs and research institutions. Our experience ranges from biomarker discovery to large phase III clinical trial data analysis. We work with clients to deliver information rather than simply more data. More information is available on our website (www.fiosgenomics.com).

Website
www.fiosgenomics.com

Source: Scientist.com supplier network, written by the supplier

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Sources: Scientist.com supplier network.

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