The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
Open accessAbstract
Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity. We describe q2-longitudinal, a software plugin for longitudinal analysis of microbiome data sets in QIIME 2. The availability of longitudinal statistics and visualizations in the QIIME 2 framework will make the analysis of longitudinal data more accessible to microbiome researchers.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform
Katoh, K. (2002) · Nucleic Acids Research · doi:10.1093/nar/gkf436 · Cited by 17,027
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Data Structures for Statistical Computing in Python
McKinney, W. (2010) · Proceedings of the Python in Science Conference · doi:10.25080/majora-92bf1922-00a · Cited by 11,032
The NumPy Array: A Structure for Efficient Numerical Computation
van der Walt, S., Colbert, S. C., & Varoquaux, G. (2011) · Computing in Science & Engineering · doi:10.1109/mcse.2011.37 · Cited by 9,381
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Statsmodels: Econometric and Statistical Modeling with Python
Seabold, S., & Perktold, J. (2010) · Proceedings of the Python in Science Conference · doi:10.25080/majora-92bf1922-011 · Cited by 6,465
Cited by
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0209-9 · Cited by 23,742
Self-citationRESCRIPt: Reproducible sequence taxonomy reference database management
(2021) · doi:10.1371/journal.pcbi.1009581 · Cited by 983
Gut microbiota dysbiosis in a cohort of patients with psoriasis
Hidalgo‐Cantabrana, C., Gómez, J., Delgado, S., Requena‐López, S., Queiro‐Silva, R., Margolles, A., Coto, E., Sánchez, B., & Coto‐Segura, P. (2019) · British Journal of Dermatology · doi:10.1111/bjd.17931 · Cited by 236
Bacterial induction of B cell senescence promotes age-related changes in the gut microbiota
Kawamoto, S., Uemura, K., Hori, N., Takayasu, L., Konishi, Y., Katoh, K., Matsumoto, T., Suzuki, M., Sakai, Y., Matsudaira, T., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01145-5 · Cited by 91
Mohr, A. E., Sweazea, K. L., Bowes, D. A., Jasbi, P., Whisner, C. M., Sears, D. D., Krajmalnik-Brown, R., Jin, Y., Gu, H., Klein-Seetharaman, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48355-5 · Cited by 80
Metadata
- Authors
- Bokulich, N. A., Dillon, M. R., Zhang, Y., Rideout, J. R., Bolyen, E., Li, H., Albert, P. S., & Caporaso, J. G.
- Venue
- mSystems
- Publisher
- American Society for Microbiology
- Published
- 2018-10-30
- Volume
- 3
- Issue
- 6
- ISSN
- 2379-5077 (ISSN-L)
- OpenAlex
- W2901568755
- Cited by
- 319
- References
- 26
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- gold
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- Bokulich, N. A., Dillon, M. R., Zhang, Y., Rideout, J. R., Bolyen, E., Li, H., Albert, P. S., & Caporaso, J. G. (2018). q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data. mSystems. https://doi.org/10.1128/msystems.00219-18
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