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Ardigen SA

Ardigen SA is listed as a large business research supplier in the Scientist.com network, with 2 sites in 2 countries.

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Sites 2

Countries 2

Type of company: Large business

Agricultural Sciences Research & Development

Bacteriology PCR and MS-Based Bacterial Identification
DNA/Protein analysis Analyze DNA and proteins for allergens, pathogens and species identification.
Molecular Markers Use of molecular diagnostics to analyze biological markers in the genome and proteome.

Antibodies

In Silico Humanization Predict epitope binding specificity, increase in vivo half-life and allow rapid modeling and humanization of antibodies.

Bioimaging

Medical Imaging Visualize and analyze internal structures in animal models or patients.

Biomarkers

Biomarker Clinical Utility Evaluate the potential clinical applications of a candidate biomarker.
Biomarker Clinical Validation Evaluate the predictive ability of a candidate biomarker for a disorder.
Biomarker Discovery Identify a biomarker associated with disease progression of disease, effectiveness of therapy or diagnosis of disease or condition.
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.
Digital Pathology Acquire, manage and interpret pathology information generated from a digital image of a slide preparation of cells or tissue.

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Predictive Biomarkers Discovery Identify candidate biomarkers suggestive of a response to a treatment.

Cell Culture and Characterization

Histology Examine by microscopy the anatomy of cells and tissues of clinical patients and animal models.

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Chemical and Compound Analysis

Structural Chemistry Examine the relationship between protein structure and function.

Data Science/Bioinformatics

Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
Clinical Biomarker Analysis 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.
Clinical Companion Diagnostics Analysis The process of finding patients who are likely to respond positively to a drug and designing a diagnostic tool to identify this group of patients before or with a therapy.
Clinical Data Analysis Analysis that helps you make sense of your clinical data
Clinical Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
Clinical Data Science and Modeling A process that helps make sense of your clinical data

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Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
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
Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
Clinical Responder Analysis, Patient Stratification The process of identifying patients that are more likely to respond positively to a drug.
Clinical Software Tools Software designed to serve the needs of clinical research groups.
Clinical Trial Integration Analysis The process of combining data from multiple clinical trials to understand categories of drugs and drug behavior in a more global way.
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.
Discovery Compound Screening Analytics Screening of an entire compound library directly against the drug target or in a more complex assay.
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 Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
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 Software Tools Software designed to serve the needs of discovery research groups.
Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
In Silico ADME-PK Predictions Use computer software to simulate in vivo physiological conditions of animals or humans to predict ADME-PK properties.
In Silico Cancer Genomics/Cancer Transcriptomics Analysis Interpret DNA sequencing and microarray data for cancer studies.
In Silico Drug-Drug Interactions Use computational tools to predict pharmaceutical, pharmacodynamic or pharmacokinetic drug-drug interactions to maximize drug regimen safety.
In Silico Epigenetic Compound Library Screening Use computer-aided methods to discover new compounds against key regulators of epigenetic signaling.
In Silico Nucleic Acid Microarray Analysis Use software to visualize and evaluate gene activity in response to various stimuli.
In Silico Protein Microarray Analysis Use software to visualize and evaluate protein function and expression on a large scale.
In Silico Protein Modification Analysis Use computational methods to predict the behavior of modified proteins.
In Silico Protein Sequence Analysis Use software to predict protein structural and functional features and secondary structure components.
RWE/HEOR Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
RWE/HEOR Drug Response Analysis A process to understand how a population is responding to a drug, specifically if there are any adverse events.
RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.
Translational Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
Translational Biomarker Discovery 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.
Translational Data Analysis Analysis that helps you make sense of your translational data
Translational Data Curation Generally, human curation of acquired data to assess the quality and reliability of different data.
Translational Data Harmonization and Integration Process to combine different data together for better understanding and analysis of the integrated data.
Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
Translational Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
Translational Data Science and Modeling A process that helps make sense of your translational data
Translational In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
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...
Translational Software tools Software designed to serve the needs of translational research groups.

Discovery Chemistry

Activity Prediction Identify possible chemical hits based on the known three-dimensional structure of a protein.
Compound Docking Identify potential compound hits based on the 3D structure of a target protein.
Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
In Silico Lead Optimization Use in silico design to enhance the ADME-PK properties of candidate drugs to maximize efficacy and safety.
Library Design & Evaluation Use structural knowledge to design target-focused compound libraries for screening.
Pharmacophore Modeling Use computer models to identify hits based on structural similarity to known active compounds.

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Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.

DNA & RNA

Amplicon 16s rRNA Sequencing Identify and compare bacteria present within a given sample.
DNA Sequencing Determine the nucleotide sequence of DNA samples.
Methylation Analysis Determine genomic methylation patterns and analyze methylation in tumors and treated samples.
miRNA sequencing Identify miRNAs by Next Generation Sequencing and bioinformatic analysis.
Ribosome Profiling Determine which mRNAs are being actively translated using next generation sequencing and specialized messenger RNA (mRNA)
RNA Sequencing Use Next Generation Sequencing techniques to Identify RNA transcripts, examine differential expression patterns and analyze splice variants.

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Single Cell RNA Sequencing Quantify mRNA variants in a single cell.
TCR Repertoire Sequencing Analyze the T cell receptor repertoire by means of next-generation sequencing.
Tissue Microarray Screen large numbers of tissues for the presence or absence of specific molecular markers.

Drug Development

Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data
Chemoinformatics Consulting The use of computer and informational techniques applied to a range of problems in the field of chemistry.
Consulting Services Work with consultants who provide expert advice in various areas of research and technology.
Pharmacology Consulting Request consulting services related to pharmacology and the chemical properties, biological effects, and therapeutic uses of drugs.
Small Molecule Drug Development Consulting Request consulting services related to small molecule development.
Target Validation Consulting Help to demonstrate that modification of target activity has potential therapeutic benefits.

General Marketing

Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

In Vitro Assays

High Content Screening Analyze whole cells or components of cells with simultaneous readout of several parameters.

In Vitro Pharmacology

Target Identification Identify the target(s) of a biologically active substance.

Protein Sciences

Protein Identification Uncover or confirm the identity of a protein.

Real World Evidence & Data

RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data

Scientific Data Services

Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
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.

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Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.
Data Quality Framework Manage data quality issues to maintain good quality data outputs.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
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.
High-Performance Computing Compute using higher performing parallel processing.
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.
LIM/eLab Notebook Services LIM/eLab Notebook Services
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
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.
Molecular Phylogenetics Analyze hereditary molecular differences in genomic sequences to compare genomes.
Mutation Data Profiling Guide treatment decisions in cancer based on the identification of genomic mutations .
Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
Ontology Mapping Assign given ontologies to source data. 
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.
Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
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.
Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
System Development Plan, create and deploy an information system.
Systems Biomedicine Analyze complex interactions in biological systems with interdisciplinary scientific teams.
Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
Systems Pharmacology Understand how drugs interact with different molecular and cellular systems within biological models.

Website: ardigen.com

Poland Kraków 1 site
United States South San Francisco 1 site

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