Metadata-Version: 2.1
Name: climush
Version: 0.0.1
Summary: Tools to run the CliMush bioinformatics pipeline.
Author-email: Carolyn Delevich <cdelevic@uoregon.edu>
Project-URL: Homepage, https://github.com/cdelevich/climush/tree/main/bioinformatics-pipeline
Project-URL: Repository, https://github.com/cdelevich/climush/tree/main/bioinformatics-pipeline/climush_py-package
Project-URL: Issues, https://github.com/cdelevich/climush/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
Requires-Dist: pandas==2.2.1
Requires-Dist: scipy==1.13.0
Requires-Dist: numpy==1.26.4
Requires-Dist: matplotlib==3.8.4
Requires-Dist: seaborn==0.13.2
Requires-Dist: Bio==1.83

# CliMush Bioinformatics Package

## About
Bioinformatics tools to process sequencing reads of fungi from PacBio, Sanger, and Illumina sequencing technologies. This package uses a combination of open-source bioinformatics tools, all of which are referenced below.

## References
Bengtsson-Palme, J., Ryberg, M., Hartmann, M., Branco, S., Wang, Z., Godhe, A., De Wit, P., Sánchez-García, M., Ebersberger, I., de Sousa, F., Amend, A., Jumpponen, A., Unterseher, M., Kristiansson, E., Abarenkov, K., Bertrand, Y.J.K., Sanli, K., Eriksson, K.M., Vik, U., Veldre, V. and Nilsson, R.H. (2013), Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data. Methods Ecol Evol, 4: 914-919. https://doi.org/10.1111/2041-210X.12073

Martin, M. (2011). Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal, 17(1), pp. 10-12. doi:https://doi.org/10.14806/ej.17.1.200

Rognes, T., Flouri, T., Nichols, B., Quince, C., & Mahé, F. (2016). VSEARCH: a versatile open source tool for metagenomics. PeerJ, 4, e2584. https://doi.org/10.7717/peerj.2584

PacBio's lima demultiplexing software: https://lima.how/


