DNA encoded library sequence analysis software with custom library design support
Project description
DELi
DELi (DNA-Encoded Library informatics) is a Python library for working with DELs. It incorporates the whole pipeline post base-calling/sequencing including:
- Barcode/DEL ID calling and cube file generation
- Enumeration of chemical structures from building blocks
- Disython and Monosynthon analysis
- Generation of machine learning datasets and baseline models from DEL data
- Various digestible reports to understand the DEL results
You can read the detailed documentation here.
Installing DELi
You can install DELi using pip for any OS/Machine that supports Python 3.10+:
pip install deli-chem
Getting Started
You can use DELi as a command line tool (see the docs for more details) or as a python package
import deli
print(deli.__version__)
[!NOTE] installing DELi uses
deli-chembut to use DELi after install make sure to usedeliand that you have no other packages nameddeli
For an end-to-end workflow of running DELi with open source libraries and selections (Enumerate, Decode, Analyze), see the examples documentation.
Why not a compiled language
DELi is written in Python for two reasons:
- We wrote the first versions of it in Python
- Python is the language most scientists in our field know, so it makes contributions from other DEL experts easier
It is true that DELi would be faster as a compiled C++ or Rust program, but we have optimized the DELi enough that runtime isn't much of an issue. We hope to someday write a Rust version of DELi (at least for decoding and enumeration) but those plans are not yet in motion.
Note for developers: DELi is built using poetry. You can use poetry build to build from source after
cloning the repo. Be on the lookout for contribution docs in the near future!
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