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Quantori

Quantori is listed as a mid sized business research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1
Countries 1

Services

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

Type of company: Mid sized business

Data Science/Bioinformatics

  • Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
  • Clinical Software Tools Software designed to serve the needs of clinical research groups.
  • 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 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 Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Show all 18 in Data Science/Bioinformatics 12 more
  • 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 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.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • 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 Curation Generally, human curation of acquired data to assess the quality and reliability of different data.
  • Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
  • Translational Data Science and Modeling A process that helps make sense of your translational data
  • Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
  • Translational Software tools Software designed to serve the needs of translational research groups.

Discovery Chemistry

  • Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.

General Marketing

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

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.
  • 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.
  • Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Show all 12 in Scientific Data Services 6 more
  • 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.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • Molecular Dynamics Software Run simulations that determine time-dependent behaviors of molecular systems.
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United States Cambridge 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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