LAP repository (https://www.laprepo.cbgp.upm.es/) is a repository dedicated to protocols meant to automate experimental workflows. Its entries have a structured format designed to expedite the creation of new protocols. It serves as a valuable resource for researchers and scientists aiming to enhance efficiency and reproducibility in their laboratory experiments.
In addition, the LAP repository also contains scripts meant to help in the processing and analysis of the data created by the high-throughput experiments. These scripts are under the section LAPu and can be found on the same page.
All LAP and LAPu entries have instructions and example variable files attached to allow users to use them directly in their experiments.
- LAP-Entry-1-Version-1 (Directory)
- code.py (Python script for LAP entry version 1)
- example.xlsx (Example variable file to test the protocol 1 for version 1)
- metadata.yaml (extra data of the environment and version of the script)
- LAP-Entry-1-Version-2 (Directory)
- code.py (Python script for LAP entry version 2)
- example.xlsx (Example variable file to test the protocol 1 for version 2)
- metadata.yaml (extra data of the environment and version of the script)
- LAP-Entry-2-Version-1 (Directory)
- code.py (Python script for LAP entry version 2)
- example.xlsx (Example variable file to test the protocol 2 for version 1)
- metadata.yaml (extra data of the environment and version of the script) (Repeat this structure for other LAP entries and versions as needed)
- LAPu-Entry-1-Version-1 (Directory)
- script.py (Directory)
- example (directory with example files)
- metadata.yaml (extra data of the environment and version of the script)
- LAPu-Entry-1-Version-2 (Directory)
- script.py (Directory)
- example (directory with example files)
- metadata.yaml (extra data of the environment and version of the script)
- LAPu-Entry-2-Version-1 (Directory)
- script.py (Directory)
- example (directory with example files)
- metadata.yaml (extra data of the environment and version of the script) (Repeat this structure for other LAPu entries as needed)
- function1.py (Function 1 used in LAPEntries, isolated for re-use)
- function2.py (Function 2 used in LAPEntries, isolated for re-use)
- function3.py (Function 3 used in LAPEntries, isolated for re-use)
- function4.py (Function 4 used in LAPEntries, has dependencies on function2.py) (Repeat this structure for other functions as needed)
- README.md (Repository README containing an explanation of the objective of each function and its requirements)