拟时间分析比较
http://genome.annoroad.com/News/Industry/1061.html
Velocity
在原有的UMAP上标注RNA velocity:https://cloud.tencent.com/developer/article/1620345
用Seurat做RNA Velocity: https://cloud.tencent.com/developer/article/1611587
Estimation on 10x data using loom and pagoda2: http://pklab.med.harvard.edu/velocyto/notebooks/R/DG1.nb.html
RNA速度-RNA velocity是什么: http://renyx.top/2019/11/01/RNA%E9%80%9F%E5%BA%A6-RNA-velocity%E6%98%AF%E4%BB%80%E4%B9%88/
Cell velocity: https://lazappi.github.io/phd-thesis-analysis/06-velocyto.html
Seurat2 with Veloctyo.R: https://github.com/velocyto-team/velocyto.R/issues/16
Estimating RNA Velocity using Seurat: https://github.com/satijalab/seurat-wrappers/blob/master/docs/velocity.md
velocyto简单使用: https://www.cnblogs.com/raisok/p/12425258.html
想分析单细胞RNA的动态变化？: https://wemp.app/posts/a33cc393-7255-4a7f-9f48-1b5bb15a118e
RNA velocity with kallisto | bus and velocyto.R: https://bustools.github.io/BUS_notebooks_R/velocity.html
RNA velocity | RNA速率: https://www.cnblogs.com/leezx/p/9504896.html
单细胞转录组数据分析|| scVelo 教程：RNA速率分析工具：https://www.jianshu.com/p/1e7acde1a318
Monocle2
首先是自己使用monocle2的体会，一旦细胞数超过30k，monocel2便不能运行。但我查到一些帖子，有人也有用40k成功分析。如果有朋友遇到过类似的问题，可以一起探讨。
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Monocle2 & Diffusion map: https://nbisweden.github.io/excelerate-scRNAseq/session-trajectories/session-trajectories.html
Monocle2 踩坑教程: https://cloud.tencent.com/developer/article/1606510
使用monocle包进行pseudotime分析: https://www.jianshu.com/p/5d65c8a8671b
用Monocle进行伪时间分析: https://www.jianshu.com/p/aaa0c768c861
Monocle拟时间分析: https://www.jianshu.com/p/12ce02a032f9
使用monocle做单细胞谱系发育: https://zhuanlan.zhihu.com/p/111921087
monocle分析及结果解读: https://www.jianshu.com/p/e79ab1cc0a67
customer-defined colors：https://github.com/cole-trapnell-lab/monocle-release/issues/139
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Monocle3
monocle3 的安装: https://www.jianshu.com/p/79886c1affe5
scRNA-seq数据分析 || Monocle3: https://www.jianshu.com/p/e94cff521ebc
使用Monocle3对多样本单细胞数据进行伪时间分析: https://www.hongguangblog.cn/archives/monocle3
跟着官网学习单细胞Monocle3: https://www.jianshu.com/p/8f57ac63f399
拟时序分析后细胞类型按照不同state进行区分：http://www.bio-info-trainee.com/6293.html
单细胞测序第四期: 用Monocle进行伪时间分析：http://www.sci666.com.cn/1469.html
单细胞测序分析之Monocle2包学习笔记：https://www.jianshu.com/p/f6186755aae5
dyno
dyno使用教程--1个R包实现59种单细胞轨迹推断分析: https://cloud.tencent.com/developer/article/1606759
velocyto
Running velocyto on multiple samples with 10X：https://github.com/velocyto-team/velocyto.R/issues/54
