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Cited by in F6Publishing
For: Xu X, Wu A, Zhang X, Su M, Jiang T, Yuan ZM. MetaDP: a comprehensive web server for disease prediction of 16S rRNA metagenomic datasets. Biophys Rep 2016;2:106-15. [PMID: 28317014 DOI: 10.1007/s41048-016-0033-4] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Asgari E, Garakani K, McHardy AC, Mofrad MRK. MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples. Bioinformatics 2018;34:i32-42. [PMID: 29950008 DOI: 10.1093/bioinformatics/bty296] [Cited by in Crossref: 28] [Cited by in F6Publishing: 20] [Article Influence: 9.3] [Reference Citation Analysis]
2 Masoodi I, Alshanqeeti AS, Alyamani EJ, AlLehibi AA, Alqutub AN, Alsayari KN, Alomair AO. Microbial dysbiosis in irritable bowel syndrome: A single-center metagenomic study in Saudi Arabia. JGH Open. 2020;4:649-655. [PMID: 32782952 DOI: 10.1002/jgh3.12313] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
3 Zhang L, Li Q, Jin W, Zuo Y, Guo S. Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines. Biosystems 2018;171:59-65. [DOI: 10.1016/j.biosystems.2018.07.004] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
4 Seneviratne CJ, Balan P, Suriyanarayanan T, Lakshmanan M, Lee DY, Rho M, Jakubovics N, Brandt B, Crielaard W, Zaura E. Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches. Crit Rev Microbiol 2020;46:288-99. [PMID: 32434436 DOI: 10.1080/1040841X.2020.1766414] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 2.5] [Reference Citation Analysis]