NEW ERA FOR BIOINFORMATICS
We will provide various contents suit for new era.

AI (Artifical Intelligence)

In the process of transforming data into knowledge, Insilicogen’s AI technology will assist you.

In Bioinformatics, Artificial Intelligence has been used significantly for many years. AI makes possible to predict things that are difficult to know by learning known information. Persistent technological advancements of big data and deep learning elevate the possibility.

Do you have lots of concerns within the flood of complex data such as documents, videos, network, including multi-omics? Or do you feel lost finding the right statistical patterns of your data? With Insilicogen’s AI technology, find hidden meanings and values of data and make it as advanced knowledge. By structuring, interconnecting, machine learning, selecting, and extracting data, we discover hidden knowledge and support integrated understanding.

  • Artificial Intelligence (AI)

SEMANTIC MODELING

Integration of complex data
and external public
information through
semantic modeling

Constant data
accumulation,
processing, and meaning

MACHINE LEARNING

Data structure analysis,
dimension reduction
Data cleaning,
conversion and
preprocessing

Feature selection/
extraction

Machine learning model
construction and
evaluation

DEEP LEARNING

Feature Map Extraction
Using Deep Neural
Network (DNN),
Deep Learning Model
construction
(regression, classification)
after architecture
application.

Prediction and accuracy
evaluation of biological
data including strings,
images, videos and
natural language
processing

TAILORED KNOWLEDGE

Web-based analysis results visualization

Provide real-time dynamic results data available online

Web and mobile available

  • Representative Case

  • Research project
    • Establishment of machine learning model to predict termite damage of wooden cultural heritage (National Research Institute of Cultural Heritage, Korea)
    • Beef quality estimation by image analysis and machine learning (Korea Institute for Animal Products Quality Evaluation)
    • Maker selection for degenerative disease by machine learning (National Institute of Animal Science)
    • Machine learning model for prediction of high temperature tolerance for abalone (National Institute of Fisheries Science)
    • The Builds of Environmentally hazardous material-Genomics Knowledge-based and Semantics based Technology Development (Ministry of environment)
    • Excavation of Indicators for Heavy metal toxicology using Toxicogenomics (Ministry of environment)
    • Coordination Analysis among Health Function, Culture, Excellence Geographic location of Korean Food and Korean Food Ingredient (Food Industry Technology Support Center)
    • Traditional Food Semantics Database Construct Analysis Program (Korea Food Research Institute)
    • The Builds of Semantics Database and Korean food specialized Ontology (Korea Food Research Institute)
    • The Builds of Anti-aging Molecular network of aging Database (Pusan National University)
    • Development of InsilicoFood Pilot System through Food Information Integration Analysis (Korea Food Research Institute)
    • Developing of prototype system through establishment of health functional food database (KwangDong)
    Patents and program registration
    • Patent Registration 10-2018-0156903 Biomarker composition for prediction or diagnosis of canine patellar lunation
    • Patent Application 10-2019-0023081 Biomarker composition for diagnosing lung cancer comprising peptide nucleic acid
    • Patent Application 10-2019-0025109 High sensitive genetic variation detection and reporting system based on barcode sequence
    • Patent Application 10-2019-0155754 Biomarker composition for prediction or diagnosis of canine degenerative diseases
    • Patent Registration 10-1107582 Web-based Ontology Editing Operation System
    • Program Registration 2011-01-121-005389 Smart-TGM Heavy metals Toxicity-index Excavating Tools
    • Program Registration 2011-01-129-001569 WeightViz by Weight Visualization Tool
    • Program Registration C-2014-030421 Personal Genomics-based Obesity Risk Computing Program
    • PCT Application pct110125 Web-based Ontology Editing Operation System
    • Patent Application 10-2014-0163505 Customized Personal Traits Dietary ingredients for information Character-Chemical Agent Network System and Providing Methods
    • Patent Application 10-2014-0170397 Personal Genomics-based Obesity Risk Analysis System and Method
    • Patent Application 10-2015-0156844 Customized Food Information Recommendation System considering Personal Genotype and Phenotype information
  • Publications
    • Semantic Data Integration for Toxicogenomic Laboratory Experiment Management Systems. Toxicology and Environmental Health Sciences, 2011
    • Semantic Data Integration to Biological Relationship among Chemicals, Diseases, and Differential Expressed Genes. Biochip Journal, 2011
  • Concept of Semantics and AI