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    Home > Biochemistry News > Biotechnology News > Notice of training course on single-cell sequencing and spatial transcriptomics data analysis

    Notice of training course on single-cell sequencing and spatial transcriptomics data analysis

    • Last Update: 2022-08-30
    • Source: Internet
    • Author: User
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    Time: August 20-21, 2022
    Online live courses, free replay videos, long-term Q&A

    【Conference Background】【Conference Features】【Lecturer Profile】【Expected Goals】【Main Contents】【Course Contents】

    9:00-12:00 am on the first day
    Single-cell sequencing technology and applications 1.
    The development and principle of single-cell omics technology
    .

    2.
    Application of single cells in various scientific research fields
    .

    3.
    Analysis of single-cell high-scoring articles analysis ideas (cell population identification, pseudo-sequence analysis, differential expression, functional enrichment, transcription factors, cell communication, etc.
    )
    .

    4.
    Introduction and use of commonly used databases for single-cell omics analysis
    .
    theory

    14:00-17:00 pm on the first day
    Single-cell omics data analysis hands-on 1.
    R language introduction and installation, RStudio installation and usage instructions
    .

    2.
    Introduction to R language syntax and common commands
    .

    3.
    Data processing function and statistical application of R language
    .

    4.
    10X official single cell software Cellranger explanation and practical operation
    .

    5.
    Explain and practice the whole process from gene expression matrix to marker gene screening
    .

    6.
    PCA and tSNE dimensionality reduction were performed by Seurat software
    .

    7.
    Single-cell transcriptome cell identification and cluster analysis
    .

    8.
    Single-cell transcriptome differential analysis
    .
    Practical

    9:00-12:00 am the next day
    Analysis and mapping of single-cell transcriptome trajectories, pathways, transcription factors, etc.
    1.
    Combine multiple samples and eliminate sample heterogeneity with Seurat
    .

    2.
    Pseudo-temporal analysis of single-cell transcriptomes by Monocle software
    .

    3.
    Conduct pathway enrichment analysis through DAVID and metascape websites
    .

    4.
    Calculate cell pathway score signal by GSVA,
    etc.

    5.
    Cell interaction analysis by cellphonedb
    .

    6.
    Infer chromosomal copy number variation by infercnv
    .

    7.
    Transcription factor prediction analysis by SCENIC software
    .
    Practical

    14:00-17:00 pm the next day
    Combined analysis of spatial transcriptome + single-cell sequencing 1.
    Basic concepts and principles of spatial transcriptome
    .

    2.
    Single-cell and spatial transcriptome research ideas and case sharing
    .

    3.
    Joint project design of single cell and spatial transcriptome
    .

    4.
    Spatial transcriptome data analysis
    .

    5.
    Identify spatial variable features by Seurat
    .

    6.
    Correlation analysis with single-cell data (spatial cell type definition)
    .

    7.
    Process multiple slices with Seurat
    .
    theory + practice
    Remarks: Bring your own computer, Windows computer recommends win10 64-bit system or above, the memory is not less than 4G, and more than 8G is recommended
    .
    The main software for the class is R and Rstudio
    .

    Meeting time:
    Meeting place:
    Organizer:
    Fee standard: Payment method: kf @Huasitai.
    com
    Registration Form info@huasitai.
    com www.
    Huasitai.
    cominfo@huasitai.
    com
    www.
    huasitai.
    com
    Reference attachment: Registration Receipt Form
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