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Cited by in F6Publishing
For: Wang Z, Lou H, Wang Y, Shamir R, Jiang R, Chen T. GePMI: A statistical model for personal intestinal microbiome identification. NPJ Biofilms Microbiomes 2018;4:20. [PMID: 30210803 DOI: 10.1038/s41522-018-0065-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Xia Y. Correlation and association analyses in microbiome study integrating multiomics in health and disease. Prog Mol Biol Transl Sci 2020;171:309-491. [PMID: 32475527 DOI: 10.1016/bs.pmbts.2020.04.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Singh V, Hwang N, Ko G, Tatsuya U. Effects of digested Cheonggukjang on human microbiota assessed by in vitro fecal fermentation. J Microbiol 2021;59:217-27. [PMID: 33527320 DOI: 10.1007/s12275-021-0525-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
3 Podlesny D, Arze C, Dörner E, Verma S, Dutta S, Walter J, Fricke WF. Metagenomic strain detection with SameStr: identification of a persisting core gut microbiota transferable by fecal transplantation. Microbiome 2022;10:53. [PMID: 35337386 DOI: 10.1186/s40168-022-01251-w] [Reference Citation Analysis]