THIS GITHUB IS A MODIFIED COPY OF THE ORIGINAL EXATOOLS GITHUB
https://github.com/ZeepReactorr/exatools
Exatool is written in python and is able to retrieve the full text of an article (when free). Its purpose is to allow a better understanding of the material used by the scientific community using a keyword research. Python scripts to visualize the data are also available. The development is still ongoing and currently limited to the PubMed database of research articles.
If you have questions, find bugs, or have ideas of features you would like to propose, do not hesitate to reach out at [email protected]
To run the programs smoothly, you need to have installed the following packages :
- bs4
- requests
- PyPDF2
- BytesIO
- numpy
- matplotlib
All those packages can be installed with pip install <package_name>
from the terminal
To install the Exatool program, run the following command line in your terminal :
git clone https://github.com/ZeepReactorr/exatools
To run the program, enter the following command line in your terminal, filling the gaps with the required parameters :
python ~/PATH/TO/exatool.py ~/PATH/TO/OUTPUT_DIR 'Pubmed URL' keyword_1 keyword_2... keyword_n
The program will keep the progression updated in the console. The ouptut graphical plot will be saved in the output directory you indicated as well as the intermediary files.
Be careful that the date range in your Pubmed query and indicated date range variable match, if they don't, the plot will not be correct.
Make sure that the URL is between quotes, as the command will return an error otherwise.
Example of prompt :
python C:/PATH/TO/exatool.py C:/PATH/TO/OUTPUT/DIRECTORY 'https://pubmed.ncbi.nlm.nih.gov/?term=prokaryote+sequencing&filter=simsearch2.ffrft' Illumina Nanopore
This will count the respective occurency of Nanopore or Illumina sequencing for articles related to Prokaryote sequencing throughout pubmed and automatically generate a graph displaying just that.
The reviews are filtered out. Only research papers with methods are taken into account.
If you found this tool useful during your research, please cite :
BETTIATI M. (2024). Exatools [Python]. https://github.com/ZeepReactorr/exatools (Original work published 2024)