The aim of this library1 is to provide a series of useful modules and packages to make it easier to build custom pipelines for metagenomics or any kind of bioinformatics analysis. It integrates other well known python libraries in bioinformatics, like HTSeq, pysam, numpy and scipy.
Documentation is available at https://frubino.github.io Data and scripts used in the documentations are available at2.
A discussion mailing list is available at mgkit-users.
Rubino, F., Carberry, C., M Waters, S., Kenny, D., McCabe, M. S., & Creevey, C. J. (2017). Divergent functional isoforms drive niche specialisation for nutrient acquisition and use in rumen microbiome. The ISME Journal, 1–13. https://doi.org/10.1038/ismej.2016.172
Lambert, B. S., Raina, J. B., Fernandez, V. I., Rinke, C., Siboni, N., Rubino, F., … Stocker, R. (2017). A microfluidics-based in situ chemotaxis assay to study the behaviour of aquatic microbial communities. Nature Microbiology, 2(10), 1344–1349. https://doi.org/10.1038/s41564-017-0010-9
Hitch, T. C. A., Thomas, B. J., Friedersdorff, J. C. A., Ougham, H., & Creevey, C. J. (2018). Deep sequence analysis reveals the ovine rumen as a reservoir of antibiotic resistance genes. Environmental Pollution, 235, 571–575. https://doi.org/10.1016/j.envpol.2017.12.067
Computational haplotype recovery and long-read validation identifies novel isoforms of industrially relevant enzymes from natural microbial communities Samuel M Nicholls, Wayne Aubrey, Arwyn Edwards, Kurt de Grave, Sharon Huws, Leander Schietgat, André Soares, Christopher J Creevey, Amanda Clare bioRxiv 223404; doi: https://doi.org/10.1101/223404
Rubino, F. and Creevey, C.J. 2014. MGkit: Metagenomic Framework For The Study Of Microbial Communities. . Available at: figshare [doi:10.6084/m9.figshare.1269288].`
a citation is also available using the mgkit.cite() function or using the --cite option on all scripts included. This will ouput the following