Hi, my name is Da Kuang, a second year Ph.D. student in the Department of Computer and Information Science, University of Pennsylvania, advised by Professor Junhyong Kim.

This is a Single-cell Genomics Reading List to take notes on the papers I encountered while learning computational biology. I am a computer science student therefore the list tends to focus on Algorithm and Statistical Inference.

Now the reading list is powered by Obsidian and can be accessed from here: https://publish.obsidian.md/single-cell-papers/

Also, this reading list is hosted on GitHub. Feel free to star or fork it if you find it interesting. Pull requests and issues will be appreciated. Thanks!

• [[10 Must Reads]]
• [[Single-cell RNAseq Experiments]]
• [[Single-cell RNASeq Analysis]]
  • [[Tutorials]]
  • [[Modeling Count Data]]
  • [[Analysis Framework]]
  • [[Assembly and Quality Control]]
  • [[Simulation]]
  • [[Data Harmonirization]]
  • [[Dimension Reduction]]
  • [[Unsuperivsed Clustering]]
  • [[Differential Expression Analysis]]
  • [[Enrichment Analysis]]
• [[Single Cell Expression Atlas]]
• [[Single-cell Multimodal Analysis]]
• [[Inspiring Machine Learning Papers]]