Commit 4f401b09 authored by yy1533's avatar yy1533
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💊 🐶

parent 5216ac07
## Overview
This is `celseq2`, a Python framework for generating the UMI count matrix
from CEL-Seq2 [^Hashimshony2016] sequencing data. We believe data digestion
from CEL-Seq2 [\*] sequencing data. We believe data digestion
should be automated, and it should be done in a manner not just computational
efficient, but also user-friendly and developer-friendly.
......@@ -145,7 +145,7 @@ expr/
   └── expr.h5
```
Results of <kbd>item-X</kbd> are useful to access technical variation when FASTQ
Results of <kbd>item-X</kbd> are useful to assess technical variation when FASTQ
files from multiple lanes, or technical/biological replicates are present.
## About
......@@ -154,8 +154,9 @@ Authors: See <https://github.com/yanailab/celseq2/blob/master/AUTHORS>
License: See <https://github.com/yanailab/celseq2/blob/master/LICENSE>
---
[^Hashimshony2016]: Hashimshony, T. et al. CEL-Seq2: sensitive highly-
[\*] Hashimshony, T. et al. CEL-Seq2: sensitive highly-
multiplexed single-cell RNA-Seq. Genome Biol. 17, 77 (2016).
<https://doi.org/10.1186/s13059-016-0938-8>
......@@ -145,7 +145,7 @@ expr/
   └── expr.h5
```
Results of <kbd>item-X</kbd> are useful to access technical variation when FASTQ
Results of <kbd>item-X</kbd> are useful to assess technical variation when FASTQ
files from multiple lanes, or technical/biological replicates are present.
## About
......
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