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For: Bromberg Y. Building a genome analysis pipeline to predict disease risk and prevent disease. J Mol Biol 2013;425:3993-4005. [PMID: 23928561 DOI: 10.1016/j.jmb.2013.07.038] [Cited by in Crossref: 28] [Cited by in F6Publishing: 18] [Article Influence: 3.1] [Reference Citation Analysis]
Number Citing Articles
1 Bromberg Y, Capriotti E. VarI-SIG 2014--From SNPs to variants: interpreting different types of genetic variants. BMC Genomics 2015;16 Suppl 8:I1. [PMID: 26110281 DOI: 10.1186/1471-2164-16-S8-I1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
2 Alexov E. Advances in Human Biology: Combining Genetics and Molecular Biophysics to Pave the Way for Personalized Diagnostics and Medicine. Advances in Biology 2014;2014:1-16. [DOI: 10.1155/2014/471836] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 1.1] [Reference Citation Analysis]
3 Haas J, Barb I, Katus HA, Meder B. Targeted next-generation sequencing: the clinician's stethoscope for genetic disorders. Per Med 2014;11:581-92. [PMID: 29758803 DOI: 10.2217/pme.14.40] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
4 Allcock RJN. Production and Analytic Bioinformatics for Next-Generation DNA Sequencing. In: Trent R, editor. Clinical Bioinformatics. New York: Springer; 2014. pp. 17-29. [DOI: 10.1007/978-1-4939-0847-9_2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
5 Alexov E, Sternberg M. Understanding molecular effects of naturally occurring genetic differences. J Mol Biol 2013;425:3911-3. [PMID: 23968859 DOI: 10.1016/j.jmb.2013.08.013] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 1.6] [Reference Citation Analysis]
6 Martell HJ, Wong KA, Martin JF, Kassam Z, Thomas K, Wass MN. Associating mutations causing cystinuria with disease severity with the aim of providing precision medicine. BMC Genomics 2017;18:550. [PMID: 28812535 DOI: 10.1186/s12864-017-3913-1] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 2.2] [Reference Citation Analysis]
7 Okser S, Pahikkala T, Airola A, Salakoski T, Ripatti S, Aittokallio T. Regularized machine learning in the genetic prediction of complex traits. PLoS Genet 2014;10:e1004754. [PMID: 25393026 DOI: 10.1371/journal.pgen.1004754] [Cited by in Crossref: 82] [Cited by in F6Publishing: 60] [Article Influence: 10.3] [Reference Citation Analysis]
8 Chung JH, Cai J, Suskin BG, Zhang Z, Coleman K, Morrow BE. Whole-Genome Sequencing and Integrative Genomic Analysis Approach on Two 22q11.2 Deletion Syndrome Family Trios for Genotype to Phenotype Correlations. Hum Mutat 2015;36:797-807. [PMID: 25981510 DOI: 10.1002/humu.22814] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 1.6] [Reference Citation Analysis]
9 Bromberg Y, Capriotti E, Carter H. VarI-SIG 2015: methods for personalized medicine - the role of variant interpretation in research and diagnostics. BMC Genomics 2016;17 Suppl 2:425. [PMID: 27357578 DOI: 10.1186/s12864-016-2721-3] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
10 Gambhir SS, Ge TJ, Vermesh O, Spitler R. Toward achieving precision health. Sci Transl Med 2018;10:eaao3612. [PMID: 29491186 DOI: 10.1126/scitranslmed.aao3612] [Cited by in Crossref: 74] [Cited by in F6Publishing: 54] [Article Influence: 24.7] [Reference Citation Analysis]
11 Pielaat A, Boer MP, Wijnands LM, van Hoek AH, Bouw E, Barker GC, Teunis PF, Aarts HJ, Franz E. First step in using molecular data for microbial food safety risk assessment; hazard identification of Escherichia coli O157:H7 by coupling genomic data with in vitro adherence to human epithelial cells. Int J Food Microbiol 2015;213:130-8. [PMID: 25910947 DOI: 10.1016/j.ijfoodmicro.2015.04.009] [Cited by in Crossref: 26] [Cited by in F6Publishing: 23] [Article Influence: 3.7] [Reference Citation Analysis]
12 Miller M, Bromberg Y, Swint-Kruse L. Computational predictors fail to identify amino acid substitution effects at rheostat positions. Sci Rep 2017;7:41329. [PMID: 28134345 DOI: 10.1038/srep41329] [Cited by in Crossref: 29] [Cited by in F6Publishing: 20] [Article Influence: 5.8] [Reference Citation Analysis]
13 Wang S, Xing J. A primer for disease gene prioritization using next-generation sequencing data. Genomics Inform 2013;11:191-9. [PMID: 24465230 DOI: 10.5808/GI.2013.11.4.191] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 0.9] [Reference Citation Analysis]
14 Reilly J, Ahalt S, Mcgee J, Owen P, Schmitt C, Wilhelmsen K. MaPSeq, A Service-Oriented Architecture for Genomics Research within an Academic Biomedical Research Institution. Informatics 2015;2:20-30. [DOI: 10.3390/informatics2030020] [Cited by in Crossref: 4] [Article Influence: 0.6] [Reference Citation Analysis]
15 Miller M, Vitale D, Kahn PC, Rost B, Bromberg Y. funtrp: identifying protein positions for variation driven functional tuning. Nucleic Acids Res 2019;47:e142. [PMID: 31584091 DOI: 10.1093/nar/gkz818] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 7.0] [Reference Citation Analysis]
16 Rost B, Radivojac P, Bromberg Y. Protein function in precision medicine: deep understanding with machine learning. FEBS Lett 2016;590:2327-41. [PMID: 27423136 DOI: 10.1002/1873-3468.12307] [Cited by in Crossref: 27] [Cited by in F6Publishing: 21] [Article Influence: 4.5] [Reference Citation Analysis]
17 Katsonis P, Koire A, Wilson SJ, Hsu TK, Lua RC, Wilkins AD, Lichtarge O. Single nucleotide variations: biological impact and theoretical interpretation. Protein Sci 2014;23:1650-66. [PMID: 25234433 DOI: 10.1002/pro.2552] [Cited by in Crossref: 55] [Cited by in F6Publishing: 45] [Article Influence: 6.9] [Reference Citation Analysis]
18 Iourov IY, Vorsanova SG, Zelenova MA, Korostelev SA, Yurov YB. Genomic Copy Number Variation Affecting Genes Involved in the Cell Cycle Pathway: Implications for Somatic Mosaicism. Int J Genomics 2015;2015:757680. [PMID: 26421275 DOI: 10.1155/2015/757680] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 1.9] [Reference Citation Analysis]
19 Yang J, Wang Y, Shen H, Yang W. In silico identification and experimental validation of insertion-deletion polymorphisms in tomato genome. DNA Res 2014;21:429-38. [PMID: 24618211 DOI: 10.1093/dnares/dsu008] [Cited by in Crossref: 30] [Cited by in F6Publishing: 17] [Article Influence: 3.8] [Reference Citation Analysis]
20 Li MJ, Yan B, Sham PC, Wang J. Exploring the function of genetic variants in the non-coding genomic regions: approaches for identifying human regulatory variants affecting gene expression. Brief Bioinform 2015;16:393-412. [PMID: 24916300 DOI: 10.1093/bib/bbu018] [Cited by in Crossref: 32] [Cited by in F6Publishing: 28] [Article Influence: 4.0] [Reference Citation Analysis]