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Dovetail Biopartners

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

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

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Type of company: Small 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 15 in Biomarkers 9 more

Flow Cytometry Identify fluorescently-labeled cells or physically separate cells from a larger population using biomarkers.
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.
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.
Single Cell Transcriptome Sequencing Detect distinct, rare or abnomal cell types in a heterogenous population.
Stem Cell Analysis Assess hematopoietic, neural and mesenchymal cell progenitor proliferation and differentiation.

Cell Culture and Characterization

Cell Sorting The purpose of cell separation is to isolate a cell population from other cells in a biological sample.
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

Chemical and Compound Analysis

MALDI-TOF Analysis Use mass spectrometry technique to analyze compound, biomolecules and large organic molecules.
Structural Chemistry Examine the relationship between protein structure and function.

Clinical Consulting

Clinical Consulting Provide high quality data, on time and within budget, while maintaining the flexibility in delivering personalized services.

Show all 131 services 119 more

Clinical Trials

Clinical Biostatistical Services Analyze and interpret data throughout all phases of clinical trial development.
Clinical Project Management Management of clinical trial sites, as monitored by various clinical monitoring organizations. Ensure that the clinical trial is being performed according to the correct protocol to uphold the validity of the data...
CTMS- Clinical Trial Management Systems A Clinical Trial Management System (CTMS) is a software platform used by pharmaceutical, biotech, and research organizations to plan, track, and manage the operational aspects of clinical trials
Virtual Clinical Trial Monitoring Platform This digital research platform allows researchers to monitor their clinical trials remotely.

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

Show all 44 in Data Science/Bioinformatics 38 more

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.
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 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 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 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 Drug/Therapy Discontinuation Analysis An analysis to understand patient behavior. Are the drugs taken on time, do the patients discontinue use, and if so how long after starting, etc.
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

Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
LCMS Analysis Physically separate substances using liquid chromatography and mass spectrometry.
Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.

DNA & RNA

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.
DNA Sequencing Determine the nucleotide sequence of DNA samples.
Metagenomic Sequencing Sequence genetic material recovered directly from environmental samples
Methylation Analysis Determine genomic methylation patterns and analyze methylation in tumors and treated samples.
NGS: Next Generation Sequencing Sequence millions of template DNA molecules in parallel.

Show all 11 in DNA & RNA 5 more

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.
Single Cell RNA Sequencing Quantify mRNA variants in a single cell.
Tissue Microarray Screen large numbers of tissues for the presence or absence of specific molecular markers.
Total RNA Sequencing Identify novel RNA transcripts and detect gene expression changes.

Drug Development

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

General Marketing

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

In Vitro ADME

Metabolite Identification and Profiling Estimate drug candidate metabolites after administration of drug to an animal or human subject.

Management Optimization & Development Strategies

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

Medical Communications

Data Visualization Visualize data collected from clinical trials and/or clinical research.

Model Development

Disease Model Database For sourcing disease models.

Protein Sciences

LCMS/MS Analysis Liquid chromatography–mass spectrometry is an analytical chemistry technique that combines the physical separation capabilities of liquid chromatography with the mass analysis capabilities of mass spectrometry.
Mass Spectrometry-Based Proteomics Detect histone post-translational modifications (hPTMs), histone variants, and interactomes at chromatin regions.
Protein mapping Interrogate the entire sequence of a protein.
Proteomics Do large-scale experimental analysis of proteins focused on understanding structure and function.

Real World Evidence & Data

Data Asset Validation Tools for validating that patient data and source has been accurately recorded.
Data Merging Tools for combining various data sets into a single data set. Includes data consolidation.
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.
RWD - Diagnostics/Laboratory Includes information on laboratory procedures/results.
RWD - Electronic Medical Record (EMR) Digital version of a patient's medical or health chart containing demographic, clinical, medical, and other treatment information.

Show all 11 in Real World Evidence & Data 5 more

RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
RWD - Oncology Data from oncology patients, can include clinical treatment, diagnosis, among others.
RWD - Rare Diseases Data from patients with rare diseases, can include clinical treatment, diagnosis, among others.
RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
Secondary Real World Evidence Analyze clinical trial 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.

Show all 27 in Scientific Data Services 21 more

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.
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.
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 .
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. 
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.
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.

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