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SYSTEMS BIOLOGY

A handy meta-analysis tool for IBD research

Nature Computational Science volume 1, pages 571–572 (2021)Cite this article

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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.

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Fig. 1: Collecting, combining and standardizing biological data for advanced meta-analysis.

Adapted with permission from ref. 1, Springer Nature America

References

  1. Massimino, L. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00114-y (2021).

  2. Stein, C. K. et al. BMC Bioinform. 16, 63 (2015).

    Article  Google Scholar 

  3. Luo, J. et al. Pharmacogenomics J. 10, 278–291 (2010).

    Article  Google Scholar 

  4. Kupfer, P. et al. BMC Med. Genom. 5, 23 (2012).

    Article  Google Scholar 

  5. Johnson, W. E., Li, C. & Rabinovic, A. Biostatistics 8, 118–127 (2007).

    Article  Google Scholar 

  6. The Cancer Genome Atlas Research Network et al. Nat. Genet. 45, 1113–1120 (2013).

  7. Park, S. J. et al. BMC Med. Genom. 12, 101 (2019).

    Article  Google Scholar 

  8. Jensen, M. A., Ferretti, V., Grossman, R. L. & Staudt, L. M. Blood 130, 453–459 (2017).

    Article  Google Scholar 

  9. Seyed Tabib, N. S. et al. Gut 69, 1520–1532 (2020).

    Article  Google Scholar 

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Authors and Affiliations

  1. Earlham Institute, Norwich, UK

    Dezso Modos, John P. Thomas & Tamas Korcsmaros

  2. Quadram Institute Bioscience, Norwich, UK

    Dezso Modos, John P. Thomas & Tamas Korcsmaros

  3. Department of Gastroenterology, Norfolk and Norwich University Hospital, Norwich, UK

    John P. Thomas

Authors
  1. Dezso Modos
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  2. John P. Thomas
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  3. Tamas Korcsmaros
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Correspondence to Tamas Korcsmaros.

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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

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