Recent work introduces a powerful new web tool that enables a faster and statistically more reliable data mining of transcriptomics and metatranscriptomics for inflammatory bowel disease (IBD) research.
References
Massimino, L. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00114-y (2021).
Stein, C. K. et al. BMC Bioinform. 16, 63 (2015).
Luo, J. et al. Pharmacogenomics J. 10, 278–291 (2010).
Kupfer, P. et al. BMC Med. Genom. 5, 23 (2012).
Johnson, W. E., Li, C. & Rabinovic, A. Biostatistics 8, 118–127 (2007).
The Cancer Genome Atlas Research Network et al. Nat. Genet. 45, 1113–1120 (2013).
Park, S. J. et al. BMC Med. Genom. 12, 101 (2019).
Jensen, M. A., Ferretti, V., Grossman, R. L. & Staudt, L. M. Blood 130, 453–459 (2017).
Seyed Tabib, N. S. et al. Gut 69, 1520–1532 (2020).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Modos, D., Thomas, J.P. & Korcsmaros, T. A handy meta-analysis tool for IBD research. Nat Comput Sci 1, 571–572 (2021). https://doi.org/10.1038/s43588-021-00124-w
Published:
Issue Date:
DOI: https://doi.org/10.1038/s43588-021-00124-w
- Springer Nature America, Inc.
This article is cited by
-
A multi-omic analysis reveals the esophageal dysbiosis as the predominant trait of eosinophilic esophagitis
Journal of Translational Medicine (2023)