单细胞数据分析概要

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单细胞类型注释：
https://www.cellkb.com/
https://www.biostars.org/p/433235/
scCATCH(https://github.com/ZJUFanLab/scCATCH)
SCSA (https://github.com/bioinfo-ibms-pumc/SCSA).
https://www.frontiersin.org/articles/10.3389/fgene.2020.00490/full
SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data
单细胞待解决的问题：
https://openproblems.bio/

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scapy 培训视频

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https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/scrna-scanpy-pbmc3k/tutorial.html

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https://scanpy.discourse.group/t/highly-variable-genes-best-practice/29/5
scanpy hvgs
You can find our current best-practices in the recent publication here 98. Typically the pre-processing steps in an analysis workflow would be:

Cell & Gene QC
Normalization
Batch correction (or data integration)
HVG selection
Dimensionality reduction (including visualization)

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https://tertiary-workflows-docs.readthedocs.io/en/v1.0.0/index.html

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https://humancellatlas.usegalaxy.eu/

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https://www.singlecellcourse.org/
sanger的单细胞教程

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https://github.com/hbctraining/scRNA-seq

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https://squidpy.readthedocs.io/en/latest/
squidpy 空间转录组分析

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单细胞大数据解决方案.pptx