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ValueData GmbH
ValueData GmbH is listed as a consultant research supplier in the Scientist.com network, with 2 sites in 1 country.
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Sites
2
Countries
1
Services
What this research supplier says it provides, as listed in the Scientist.com network.
Type of company: Consultant
Biomarkers
- Cell Membrane Lipidomics Study the pathways and networks of membrane lipids.
- Genomics Genomic services including applications to DNA (*sanger sequencing, whole genome amplification, library screening, cloning, sub-cloning, and DNA isolation*) and RNA (*microRNA analysis, RNA isolation, qRT-PCR, mRNA...
- Metabolomics Biomarker Discovery Identify and quantitate metabolite biomarkers in blood, urine, CSF and bodily fluids.
- Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
- Olink Proteomics Olink Proteomics is an innovative platform for high-throughput protein biomarker discovery
- Spatial Metabolomics The study of the spatial distribution and localization of metabolites within biological tissues using advanced imaging and analytical techniques.
Cell Culture and Characterization
- Single Cell Services Request services to perform genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level
Clinical Consulting
- Data & Risk Management Determine the extent of the risk and the reliability of the data used to access the aforementioned risk.
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
- 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
- Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Show all 36 in Data Science/Bioinformatics
- 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 Data Science and Modeling A process that helps make sense of your discovery data
- 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 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.
- Microarray Data Analysis Visualize and analyze microarray data and facilitate data analysis for large experiments.
- NLP Processing for Unstructured Clinical Notes NLP processing for unstructured clinical notes involves using natural language processing techniques to extract, analyze, and interpret valuable information from free-text medical records, enabling improved clinical...
- 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
- 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 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...
Show all 75 services
Discovery Chemistry
- Compound Docking Identify potential compound hits based on the 3D structure of a target protein.
- Lead Optimization Perform chemical structural changes to improve preclinical drug candidate.
DNA & RNA
- Integrated Genomics Package Process an entire Genomics Pipeline Project including: Sample Preparation, Target Enrichment, NGS Instrumentation, and Data Analysis from our Bundle of Suppliers
- NGS: Next Generation Sequencing Sequence millions of template DNA molecules in parallel.
- Spatial Transcriptomics Determine the sub-cellular localization of mRNA molecules. Use this to identify cellular heterogeneity in tissues, tumors, immune cells and the subcellular distribution of transcripts.
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.
Market Access
- Population Health Analytics Aggregation of patient data across multiple health information technology resources, the analysis of that data into a single, actionable patient record, and the actions through which care providers can improve both...
Protein Sciences
- Integrated Proteomics Package Process an entire Proteomics Pipeline Project including: Sample Preparation, Target Enrichment, NGS Instrumentation, and Data Analysis from our Bundle of Suppliers
- MAPPs (MHC-II-associated peptide proteomics) MAPPs, or MHC-II-associated peptide proteomics, is a mass spectrometry technique for identifying peptides from therapeutic proteins that are presented by MHC class II molecules on antigen-presenting cells.
- Mass Spectrometry-Based Proteomics Detect histone post-translational modifications (hPTMs), histone variants, and interactomes at chromatin regions.
- Proteomics Do large-scale experimental analysis of proteins focused on understanding structure and function.
- Proteomics Data Analysis Identify and quantify the proteome of a biological system at a specific point in time.
Real World Evidence & Data
- Predictive Analytics Variety of statistical techniques from data mining, predictive modeling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
- RWD - Genomics Genomic data collected from a patients with different diseases, can be derived from a range of sources.
- RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data
Scientific Data Services
- Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
- Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
- 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.
- 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.
Show all 14 in Scientific Data Services
- Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
- 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.
- Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
- Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
- Website
- valuedata.io
Where it operates
Sites by country, with the cities in each.
-
Germany 2 sites
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