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For: Rigden DJ, Fernández XM. The 2018 Nucleic Acids Research database issue and the online molecular biology database collection. Nucleic Acids Res 2018;46:D1-7. [PMID: 29316735 DOI: 10.1093/nar/gkx1235] [Cited by in Crossref: 52] [Cited by in F6Publishing: 34] [Article Influence: 17.3] [Reference Citation Analysis]
Number Citing Articles
1 Nepal C, Hadzhiev Y, Balwierz P, Tarifeño-Saldivia E, Cardenas R, Wragg JW, Suzuki AM, Carninci P, Peers B, Lenhard B, Andersen JB, Müller F. Dual-initiation promoters with intertwined canonical and TCT/TOP transcription start sites diversify transcript processing. Nat Commun 2020;11:168. [PMID: 31924754 DOI: 10.1038/s41467-019-13687-0] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
2 Pilkington AW 4th, Donohoe GC, Akhmedov NG, Ferrebee T, Valentine SJ, Legleiter J. Hydrogen Peroxide Modifies Aβ-Membrane Interactions with Implications for Aβ40 Aggregation. Biochemistry 2019;58:2893-905. [PMID: 31187978 DOI: 10.1021/acs.biochem.9b00233] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
3 Duran‐frigola M, Fernández‐torras A, Bertoni M, Aloy P. Formatting biological big data for modern machine learning in drug discovery. WIREs Comput Mol Sci 2019;9. [DOI: 10.1002/wcms.1408] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Sipido KR. Irreproducible results in preclinical cardiovascular research: opportunities in times of need. Cardiovascular Research 2019;115:e34-6. [DOI: 10.1093/cvr/cvy312] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
5 Noronha A, Modamio J, Jarosz Y, Guerard E, Sompairac N, Preciat G, Daníelsdóttir AD, Krecke M, Merten D, Haraldsdóttir HS, Heinken A, Heirendt L, Magnúsdóttir S, Ravcheev DA, Sahoo S, Gawron P, Friscioni L, Garcia B, Prendergast M, Puente A, Rodrigues M, Roy A, Rouquaya M, Wiltgen L, Žagare A, John E, Krueger M, Kuperstein I, Zinovyev A, Schneider R, Fleming RMT, Thiele I. The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Res 2019;47:D614-24. [PMID: 30371894 DOI: 10.1093/nar/gky992] [Cited by in Crossref: 104] [Cited by in F6Publishing: 89] [Article Influence: 52.0] [Reference Citation Analysis]
6 Eggermann T, Elbracht M, Kurth I, Juul A, Johannsen TH, Netchine I, Mastorakos G, Johannsson G, Musholt TJ, Zenker M, Prawitt D, Pereira AM, Hiort O; European Reference Network on Rare Endocrine Conditions (ENDO-ERN. Genetic testing in inherited endocrine disorders: joint position paper of the European reference network on rare endocrine conditions (Endo-ERN). Orphanet J Rare Dis 2020;15:144. [PMID: 32513286 DOI: 10.1186/s13023-020-01420-w] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Quinn JP, Savage AL, Bubb VJ. Non-coding genetic variation shaping mental health. Curr Opin Psychol 2019;27:18-24. [PMID: 30099302 DOI: 10.1016/j.copsyc.2018.07.006] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
8 Reyes Román JF, García A, Rueda U, Pastor Ó. GenesLove.Me 2.0: Improving the Prioritization of Genetic Variations. In: Damiani E, Spanoudakis G, Maciaszek LA, editors. Evaluation of Novel Approaches to Software Engineering. Cham: Springer International Publishing; 2019. pp. 314-33. [DOI: 10.1007/978-3-030-22559-9_14] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
9 Buneman P, Christie G, Davies JA, Dimitrellou R, Harding SD, Pawson AJ, Sharman JL, Wu Y. Why data citation isn't working, and what to do about it. Database (Oxford) 2020;2020:baaa022. [PMID: 32367113 DOI: 10.1093/databa/baaa022] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Sima AC, Mendes de Farias T, Zbinden E, Anisimova M, Gil M, Stockinger H, Stockinger K, Robinson-Rechavi M, Dessimoz C. Enabling semantic queries across federated bioinformatics databases. Database (Oxford) 2019;2019:baz106. [PMID: 31697362 DOI: 10.1093/database/baz106] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
11 Liu J, Yang M, Zhang L, Zhou W. An effective biomedical data migration tool from resource description framework to JSON. Database (Oxford) 2019;2019:baz088. [PMID: 31343683 DOI: 10.1093/database/baz088] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
12 Song S, Zhang Z. Database Resources in BIG Data Center: Submission, Archiving, and Integration of Big Data in Plant Science. Mol Plant 2019;12:279-81. [PMID: 30716410 DOI: 10.1016/j.molp.2019.01.020] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Palacio AL, López ÓP, Ródenas JCC. A Method to Identify Relevant Genome Data: Conceptual Modeling for the Medicine of Precision. In: Trujillo JC, Davis KC, Du X, Li Z, Ling TW, Li G, Lee ML, editors. Conceptual Modeling. Cham: Springer International Publishing; 2018. pp. 597-609. [DOI: 10.1007/978-3-030-00847-5_44] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
14 Leng J, Shoura M, McLeish TCB, Real AN, Hardey M, McCafferty J, Ranson NA, Harris SA. Securing the future of research computing in the biosciences. PLoS Comput Biol 2019;15:e1006958. [PMID: 31095554 DOI: 10.1371/journal.pcbi.1006958] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
15 He S, Sun H, Huang Y, Dong S, Qiao C, Zhang S, Wang C, Zheng F, Yan M, Yang G. Identification and Interaction Analysis of Significant Genes and MicroRNAs in Pterygium. Biomed Res Int 2019;2019:2767512. [PMID: 31341891 DOI: 10.1155/2019/2767512] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
16 James SA, Ong HS, Hari R, Khan AM. A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences. BMC Genomics 2021;22:700. [PMID: 34583643 DOI: 10.1186/s12864-021-07657-4] [Reference Citation Analysis]
17 Shang Y, Huang S. Engineering Plant Cytochrome P450s for Enhanced Synthesis of Natural Products: Past Achievements and Future Perspectives. Plant Commun 2020;1:100012. [PMID: 33404545 DOI: 10.1016/j.xplc.2019.100012] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
18 Kawashima S, Katayama T, Hatanaka H, Kushida T, Takagi T. NBDC RDF portal: a comprehensive repository for semantic data in life sciences. Database (Oxford) 2018;2018. [PMID: 30576482 DOI: 10.1093/database/bay123] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
19 Irshad O, Ghani Khan MU. Formalization and Semantic Integration of Heterogeneous Omics Annotations for Exploratory Searches. CBIO 2021;16:162-78. [DOI: 10.2174/1574893615666200127122818] [Reference Citation Analysis]
20 Irshad O, Khan MUG. Integration and Querying of Heterogeneous Omics Semantic Annotations for Biomedical and Biomolecular Knowledge Discovery. CBIO 2020;15:41-58. [DOI: 10.2174/1574893614666190409112025] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
21 Sidiq KR, Chow MW, Zhao Z, Daniel RA. Alanine metabolism in Bacillus subtilis. Mol Microbiol 2021;115:739-57. [PMID: 33155333 DOI: 10.1111/mmi.14640] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
22 García-López R, Pérez-Brocal V, Moya A. Beyond cells - The virome in the human holobiont. Microb Cell 2019;6:373-96. [PMID: 31528630 DOI: 10.15698/mic2019.09.689] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
23 Kleywegt GJ, Velankar S, Patwardhan A. Structural biology data archiving - where we are and what lies ahead. FEBS Lett 2018;592:2153-67. [PMID: 29749603 DOI: 10.1002/1873-3468.13086] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
24 De Cesco S, Davis JB, Brennan PE. TargetDB: A target information aggregation tool and tractability predictor. PLoS One 2020;15:e0232644. [PMID: 32877430 DOI: 10.1371/journal.pone.0232644] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
25 Oliveira AL. Biotechnology, Big Data and Artificial Intelligence. Biotechnol J 2019;14:1800613. [DOI: 10.1002/biot.201800613] [Cited by in Crossref: 32] [Cited by in F6Publishing: 15] [Article Influence: 10.7] [Reference Citation Analysis]
26 Howe DG, Blake JA, Bradford YM, Bult CJ, Calvi BR, Engel SR, Kadin JA, Kaufman TC, Kishore R, Laulederkind SJF, Lewis SE, Moxon SAT, Richardson JE, Smith C. Model organism data evolving in support of translational medicine. Lab Anim (NY) 2018;47:277-89. [PMID: 30224793 DOI: 10.1038/s41684-018-0150-4] [Cited by in Crossref: 20] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
27 Coley CW, Eyke NS, Jensen KF. Autonomous Discovery in the Chemical Sciences Part II: Outlook. Angew Chem Int Ed Engl 2020;59:23414-36. [PMID: 31553509 DOI: 10.1002/anie.201909989] [Cited by in Crossref: 35] [Cited by in F6Publishing: 21] [Article Influence: 17.5] [Reference Citation Analysis]
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29 Scornavacca C, Belkhir K, Lopez J, Dernat R, Delsuc F, Douzery EJP, Ranwez V. OrthoMaM v10: Scaling-Up Orthologous Coding Sequence and Exon Alignments with More than One Hundred Mammalian Genomes. Mol Biol Evol 2019;36:861-2. [PMID: 30698751 DOI: 10.1093/molbev/msz015] [Cited by in Crossref: 23] [Cited by in F6Publishing: 16] [Article Influence: 7.7] [Reference Citation Analysis]
30 Ahmed Z, Zeeshan S, Mendhe D, Dong X. Human gene and disease associations for clinical-genomics and precision medicine research. Clin Transl Med 2020;10:297-318. [PMID: 32508008 DOI: 10.1002/ctm2.28] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
31 Jurásek M, Kumar J, Paclíková P, Kumari A, Tripsianes K, Bryja V, Vácha R. Phosphorylation-induced changes in the PDZ domain of Dishevelled 3. Sci Rep 2021;11:1484. [PMID: 33452274 DOI: 10.1038/s41598-020-79398-5] [Reference Citation Analysis]
32 Markosian C, Di Costanzo L, Sekharan M, Shao C, Burley SK, Zardecki C. Analysis of impact metrics for the Protein Data Bank. Sci Data 2018;5:180212. [PMID: 30325351 DOI: 10.1038/sdata.2018.212] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 3.3] [Reference Citation Analysis]
33 Chen X, Dang X, Wang Y, Yang Y, Yang G, Sun J, Yin H, Liu E, Hong D. Association Mapping of Thousand Grain Weight using SSR and SNP Markers in Rice (Oryza sativa L.) Across Six Environments. Tropical Plant Biol 2021;14:143-55. [DOI: 10.1007/s12042-021-09282-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
34 Harper L, Campbell J, Cannon EKS, Jung S, Poelchau M, Walls R, Andorf C, Arnaud E, Berardini TZ, Birkett C, Cannon S, Carson J, Condon B, Cooper L, Dunn N, Elsik CG, Farmer A, Ficklin SP, Grant D, Grau E, Herndon N, Hu ZL, Humann J, Jaiswal P, Jonquet C, Laporte MA, Larmande P, Lazo G, McCarthy F, Menda N, Mungall CJ, Munoz-Torres MC, Naithani S, Nelson R, Nesdill D, Park C, Reecy J, Reiser L, Sanderson LA, Sen TZ, Staton M, Subramaniam S, Tello-Ruiz MK, Unda V, Unni D, Wang L, Ware D, Wegrzyn J, Williams J, Woodhouse M, Yu J, Main D. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database (Oxford) 2018;2018. [PMID: 30239679 DOI: 10.1093/database/bay088] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 5.0] [Reference Citation Analysis]
35 Bouter Y, Kacprowski T, Rößler F, Jensen LR, Kuss AW, Bayer TA. miRNA Alterations Elicit Pathways Involved in Memory Decline and Synaptic Function in the Hippocampus of Aged Tg4-42 Mice. Front Neurosci 2020;14:580524. [PMID: 33013313 DOI: 10.3389/fnins.2020.580524] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
36 Tarkowska A, Carvalho-Silva D, Cook CE, Turner E, Finn RD, Yates AD. Eleven quick tips to build a usable REST API for life sciences. PLoS Comput Biol 2018;14:e1006542. [PMID: 30543619 DOI: 10.1371/journal.pcbi.1006542] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]