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Education Programs

Basic Biology

Molecular Biology

  • Immunoblotting

  • Reporter gene-luciferase assay

  • Gene cloning and mutagenesis

  • RT-qPCR and Stem-loop RT-PCR

  • Lentivirus production and transduction

  • Sample preparation for NGS

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Cell Biology

  • Apoptosis assay

  • Cell invasion/migration assays

  • Cell culture techniques

  • Cell proliferation assay

  • Tumor sphere formation assay

  • Soft agar colony formation assay

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Immunology

  • H&E tissue staining

  • FACs analysis

  • Cytokine array

  • Immunocytochemistry 

  • Immunohistochemistry

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Microbiology

  • Yeast two hybrid analysis

  • Handling of microorganisms

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Genomics & Proteomics

  • RNA Sequencing (RNA-seq)

  • Immunoprecipitation and co-immunoprecipitation

  • Chromatin Immunoprecipitation Sequencing (ChIP-seq)

  • Assay for Transposase-Accessible Chromatin Sequencing (ATAC-seq)

  • Protein profiling analysis (SILAC labeling)

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Chemistry

  • Silica Column Fractionation assay

  • TLC (Thin Layer Chromatography)

  • GC (Gas Chromatography), GC/MS

  • LC/MS (Liquid Chromatography / Mass)

  • HPLC (High Performance Liquid Chromatography)

Computational Biology

Computational Biology Techniques

  • Data quality check

  • Sequence alignment

  • Data visualization

  • Comparative analysis

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NGS data analysis

  • NGS (Next Generation Sequencing)-based approaches such as

    • Genome and Exome sequencing data analysis for genomic variants calling

    • Transcriptome sequencing data analysis for identification of differentially expressed genes

    • Genome bisulfite sequencing data analysis for identification of differentially methylated region 

    • ChIP-Seq (chromatin immunoprecipiration with massively parallel DNA sequencing), 3C (chromosome conformation capture), 4C, Hi-C, HiChIP, DNase-Seq (DNase I hypersensitive sites sequencing), and ATAC-Seq (Assay for Transposase-Accessible Chromatin) data analysis for identification of different epigenetic modification

  • NGS Data Visualization Using UCSC genome browser, HOMER, IGVtools, deepTools and Plot.ly

  • ChIP-based array data analysis such as

    • Micro-array (Transcriptome) 

    • MethylChIP 450k, 850k

    • SNP-array

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Computational Epigenetics

  • Analysis based on NGS​

    • Using Genome sequencing data, reveal mutations related to specific characters like disease

    • Using ChIP-Seq and RNA-Seq data, find the relation among TFs binding, histone modification markers and regulated gene expression level at tissue specific and stage specific condition

  • Analysis method of Big Data integration

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Operating System setting

  • Linux server design and setting for NGS data analysis 

  • MAC server setting for NGS data analysis

  • Windows server setting for offering web service

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