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bioterminal

bioterminal is listed as a consultant research supplier in the Scientist.com network, with 1 site in 1 country.

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Services

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

Type of company: Consultant

Biomarkers

  • Biomarker Analytical Validation Assess and optimize the characteristics of a candidate biomarker to ensure reproducibility and consistency.
  • 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.
Show all 10 in Biomarkers 4 more
  • Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
  • 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.

Clinical Trials

  • Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

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 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
  • Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Show all 42 in Data Science/Bioinformatics 36 more
  • 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.
  • 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 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.
  • Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.
  • RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
  • 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.
Show all 88 services 75 more

Discovery Chemistry

  • Activity Prediction Identify possible chemical hits based on the known three-dimensional structure of a protein.
  • Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
  • Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.

Disease Models

  • Disease Simulation Modeling Disease Simulation Modeling
  • Object Recognition Measure spatial navigation, working memory and cognitive function in animal models.

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.

General Marketing

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

In Vitro Pharmacology

  • In Vitro Disease Models Screen pre-clinical candidates without the use of live animals.

Management Optimization & Development Strategies

  • Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

Model Development

  • Custom Model Development Develop a custom disease model.

Scientific Data Services

  • Automated Image Analysis Automated Image Analysis
  • 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.
Show all 24 in Scientific Data Services 18 more
  • Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
  • 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.
  • Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
  • Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
  • 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.
  • NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
  • Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
  • Ontology Mapping Assign given ontologies to source data. 
  • Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
  • Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
  • Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
  • Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United Kingdom London 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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