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Zifo Technologies GmbH
Zifo Technologies GmbH is listed as a large business research supplier in the Scientist.com network, with 3 sites in 2 countries.
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Sites
3
Countries
2
Services
What this research supplier says it provides, as listed in the Scientist.com network.
Type of company: Large business
Biomarkers
- Biomarker Services Evaluating normal/abnormal biological conditions and characteristics within the body
- Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
Chemistry, Manufacturing and Controls (CMC)
- Chemistry, Manufacturing and Controls (CMC) Request Chemistry, Manufacturing and Controls services
Clinical Consulting
- Biostatistics Consulting Apply statistical theory and mathematical principals to research
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 Data Science and Modeling A process that helps make sense of your clinical data
- 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
- 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.
Show all 28 in Data Science/Bioinformatics
- 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 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 Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
- 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...
- 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
- 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...
Discovery Chemistry
- 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.
Show all 50 services
DNA & RNA
- ChIP-sequencing Profiling Identify where a protein is binding to DNA on a genome-wide scale.
- 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
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 Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
- Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
- Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
Show all 11 in Scientific Data Services
- 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.
- NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
- Ontology Mapping Assign given ontologies to source data.
- Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
- T Cell Epitope Mapping Use peptide libraries make it possible to rapidly identify the epitopes of T-Cells, T-Cell clones, T-Helper Cell Clones, T-cell lines, and unpurified T-cells.
- Website
- www.zifornd.com
Where it operates
Sites by country, with the cities in each.
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United States 2 sites
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India 1 site
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