The human contains countless variety and diversity of cell types, states, and interactions. We wish to understand these tissues and the cell types at much deeper level. Single-cell RNA-seq (scRNA-seq) offers a look into what genes are being expressed at the level of individual cells. Overall this method allows on to identify cell types, find rare or unidentified cell types or states, identify genes that are differently expressed in different cell types, and explore changes in expression whilst including spatial, regulatory, and protein interactions.
We hope that other would find use for this transcript_structure generator that allows one to take input gtf files of specific gene transcripts and outputs a gtf containing intron/exon structures per inputed transcript.
# Installation
To install the Python virtual environment, run
...
...
@@ -44,4 +50,16 @@ To perform all tests, make sure your environment corresponds to the `environment
```
pytest tests
```
\ No newline at end of file
```
# License
MIT license, Copyright (c) 2021 Zavolan Lab, Biozentrum, University of Basel
