Tag.bio, Inc.

Tag.bio, Inc. is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 1

Countries 1

Type of company: Small business

Data Science/Bioinformatics

Clinical Data Analysis Analysis that helps you make sense of your clinical data
Clinical Data Science and Modeling A process that helps make sense of your clinical data
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
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 Data Analysis Analysis that helps you make sense of your discovery data

Show all 14 in Data Science/Bioinformatics 8 more

Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
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 Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
Translational Data Analysis Analysis that helps you 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.

HEOR

Health Economics and Outcomes Research (HEOR) Evaluate data collected during drug development to maximize the value of a therapeutic product.

Market Access

Market Research & Business Intelligence Run market feasibility studies, establish customer needs, improve product performance and analyze competition.

Real World Evidence & Data

Claims Data & Database Analysis Analysis of care cost and quality.
Clinical Phenotype Data Obtain phenotypic data and observations on patients such as the clinical manifestation of the disease, clinical and behavioral parameters, symptoms, and laboratory test results.
Multi-Source Data Pools Multiple data sources aggregated into singular platforms for analysis. May or may not include real-time analytics capabilities.
Real-World Data Acquire real-world data from patients' electronic medical records including clinical information generated during the course of healthcare.
Real-World Evidence Acquire clinical data from patients' medical records to analyze trends and the frequency of occurrence of different medical conditions.
RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data

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Secondary Real World Evidence Analyze clinical trial data.

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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 Infrastructure Design and deploy an information management solution suited to users' specific needs.
Data Quality Framework Manage data quality issues to maintain good quality data outputs.

Show all 18 in Scientific Data Services 12 more

Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
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.
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.
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

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Website: tag.bio

United States SAN FRANCISCO 1 site

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