Sonrai Analytics

Sonrai Analytics is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

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Type of company: Small business

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.

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Digital Pathology Acquire, manage and interpret pathology information generated from a digital image of a slide preparation of cells or tissue.
Flow Cytometry Identify fluorescently-labeled cells or physically separate cells from a larger population using biomarkers.
Histopathology Evaluate slide preparation of cells or tissues for abnormal features.
Immunohistochemistry Examine the toxic effects of pre-clinical compounds in small animal and patient histological samples.
Metabolomics Biomarker Discovery Identify and quantitate metabolite biomarkers in blood, urine, CSF and bodily fluids.
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.
Protein Bioanalysis Quantitative measurement of xenobiotics (drugs and their metabolites, and biological molecules in unnatural locations or concentrations) and Proteins in biological systems

Cell Culture and Characterization

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

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 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 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 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 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.
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.

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General Marketing

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

Scientific Data Services

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.
Data Infrastructure Design and deploy an information management solution suited to users' specific needs.

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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.
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 .
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.
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.

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