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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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cell production

transcription factor proteins

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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.
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Reference attachment: Registration Receipt Form

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