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Sycomia

Sycomia is listed as a new startup research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1
Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: New startup

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 29 in Data Science/Bioinformatics 23 more
  • 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 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 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 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 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.
  • Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.
  • 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 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...

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.
  • 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.
  • Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
  • NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
Show all 7 in Scientific Data Services 1 more
  • Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
Website
sycomia.com

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • France Rosenau 1 site

Source: Scientist.com supplier network (site locations)

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Sources: Scientist.com supplier network.

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