{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T20:30:55Z","timestamp":1775680255498,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"S4","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1186\/s12859-019-2681-0","type":"journal-article","created":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T09:07:39Z","timestamp":1555578459000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes"],"prefix":"10.1186","volume":"20","author":[{"given":"Paolo","family":"Romano","sequence":"first","affiliation":[]},{"given":"Arnaud","family":"C\u00e9ol","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Dr\u00e4ger","sequence":"additional","affiliation":[]},{"given":"Antonino","family":"Fiannaca","sequence":"additional","affiliation":[]},{"given":"Rosalba","family":"Giugno","sequence":"additional","affiliation":[]},{"given":"Massimo","family":"La Rosa","sequence":"additional","affiliation":[]},{"given":"Luciano","family":"Milanesi","sequence":"additional","affiliation":[]},{"given":"Ulrich","family":"Pfeffer","sequence":"additional","affiliation":[]},{"given":"Riccardo","family":"Rizzo","sequence":"additional","affiliation":[]},{"given":"Soo-Yong","family":"Shin","sequence":"additional","affiliation":[]},{"given":"Junfeng","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Alfonso","family":"Urso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,18]]},"reference":[{"key":"2681_CR1","unstructured":"NETTAB Workshops. Available from: \n                    http:\/\/www.nettab.org\/\n                    \n                  . Accessed 26 Feb 2019."},{"key":"2681_CR2","unstructured":"NETTAB 2017 Workshop. Available from: \n                    http:\/\/www.igst.it\/nettab\/2017\/\n                    \n                  . Accessed 26 Feb 2019."},{"key":"2681_CR3","doi-asserted-by":"crossref","unstructured":"Barab\u00e1si AL, Oltvai ZN. Network biology: understanding the cell\u2019s functional organization. Nat Rev Genet. 2004; 5:101. Available from: \n                    https:\/\/doi.org\/10.1038\/nrg1272\n                    \n                  .","DOI":"10.1038\/nrg1272"},{"key":"2681_CR4","doi-asserted-by":"crossref","unstructured":"Mast FD, Ratushny AV, Aitchison JD. Systems cell biology. J Cell Biol. 2014; 206(6):695\u2013706. Available from: \n                    https:\/\/doi.org\/10.1083\/jcb.201405027\n                    \n                  .","DOI":"10.1083\/jcb.201405027"},{"key":"2681_CR5","doi-asserted-by":"crossref","unstructured":"Sompairac N, Modamio J, Fleming RMT, Barillot E, Zinovyev A, Kuperstein I. Metabolic and signalling network map integration: application to cross-talk studies and omics data analysis in cancer. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2682-z\n                    \n                  .","DOI":"10.1186\/s12859-019-2682-z"},{"key":"2681_CR6","doi-asserted-by":"crossref","unstructured":"Kuperstein I, Bonnet E, Nguyen HA, Cohen D, Viara E, Grieco L, et al.Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis. 2015; 4(7):e160. Available from: \n                    https:\/\/doi.org\/10.1038\/oncsis.2015.19\n                    \n                  .","DOI":"10.1038\/oncsis.2015.19"},{"key":"2681_CR7","doi-asserted-by":"crossref","unstructured":"Noronha A, Dan\u00edelsd\u00f3ttir AD, Gawron P, J\u00f3hannsson F, J\u00f3nsd\u00f3ttir S, Jarlsson S, et al.ReconMap: an interactive visualization of human metabolism. Bioinformatics. 2017; 33(4):605\u20137. Available from: \n                    https:\/\/doi.org\/10.1093\/bioinformatics\/btw667\n                    \n                  .","DOI":"10.1093\/bioinformatics\/btw667"},{"key":"2681_CR8","doi-asserted-by":"crossref","unstructured":"Burgoon LD. The need for standards, not guidelines, in biological data reporting and sharing. Nat Biotechnol. 2006; 24:1369. Available from: \n                    https:\/\/doi.org\/10.1038\/nbt1106-1369\n                    \n                  .","DOI":"10.1038\/nbt1106-1369"},{"key":"2681_CR9","doi-asserted-by":"crossref","unstructured":"Saito R, Smoot ME, Ono K, Ruscheinski J, Wang PL, Lotia S, et al.A travel guide to Cytoscape plugins. Nat Methods. 2012; 9:1069. Available from: \n                    https:\/\/doi.org\/10.1038\/nmeth.2212\n                    \n                  .","DOI":"10.1038\/nmeth.2212"},{"key":"2681_CR10","doi-asserted-by":"crossref","unstructured":"Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, et al.The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016; 3:160018. Available from: \n                    https:\/\/doi.org\/10.1038\/sdata.2016.18\n                    \n                  .","DOI":"10.1038\/sdata.2016.18"},{"key":"2681_CR11","doi-asserted-by":"crossref","unstructured":"Kuperstein I, Cohen DP, Pook S, Viara E, Calzone L, Barillot E, et al.NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps. BMC Syst Biol. 2013; 7(1):100. Available from: \n                    https:\/\/doi.org\/10.1186\/1752-0509-7-100\n                    \n                  .","DOI":"10.1186\/1752-0509-7-100"},{"key":"2681_CR12","doi-asserted-by":"crossref","unstructured":"Perconti G, Rubino P, Contino F, Bivona S, Bertolazzi G, Tumminello M, et al.RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2683-y\n                    \n                  .","DOI":"10.1186\/s12859-019-2683-y"},{"key":"2681_CR13","doi-asserted-by":"crossref","unstructured":"Zhou Q, Su X, Wang A, Xu J, Ning K. QC-Chain: fast and holistic quality control method for next-generation sequencing data. PloS ONE. 2013; 8(4):e60234. Available from: \n                    https:\/\/doi.org\/10.1371\/journal.pone.0060234\n                    \n                  .","DOI":"10.1371\/journal.pone.0060234"},{"key":"2681_CR14","doi-asserted-by":"crossref","unstructured":"Sangiovannni M, Granata I, Shing Thind A, Guarracino M. From trash to treasure: detecting unexpected contamination in unmapped NGS data. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2684-x\n                    \n                  .","DOI":"10.1186\/s12859-019-2684-x"},{"key":"2681_CR15","doi-asserted-by":"crossref","unstructured":"Kostic AD, Gevers D, Pedamallu CS, Michaud M, Duke F, Earl AM, et al.Genomic analysis identifies association of Fusobacterium with colorectal carcinoma. Genome Res. 2012; 22(2):292\u20138. Available from: \n                    http:\/\/www.genome.org\/cgi\/doi\/10.1101\/gr.126573.111\n                    \n                  .","DOI":"10.1101\/gr.126573.111"},{"key":"2681_CR16","doi-asserted-by":"crossref","unstructured":"Lin Z, Puetter A, Coco J, Xu G, Strong MJ, Wang X, et al.Detection of Murine Leukemia Virus in the Epstein-Barr virus-positive human B-cell line JY using a computational RNA-seq based exogenous agent detection pipeline, PARSES. J Virol. 2012:JVI\u201306717. Available from: \n                    https:\/\/jvi.asm.org\/content\/86\/6\/2970\n                    \n                  .","DOI":"10.1128\/JVI.06717-11"},{"key":"2681_CR17","doi-asserted-by":"crossref","unstructured":"Strong MJ, O\u2019Grady T, Lin Z, Xu G, Baddoo M, Parsons C, et al.Epstein-Barr virus and human herpesvirus 6 detection in a non-Hodgkin\u2019s diffuse large B-cell lymphoma cohort by using RNA sequencing. J Virol. 2013; 87(23):13059\u201362. Available from: \n                    https:\/\/jvi.asm.org\/content\/87\/23\/13059\n                    \n                  .","DOI":"10.1128\/JVI.02380-13"},{"key":"2681_CR18","doi-asserted-by":"crossref","unstructured":"Amadou A, Hainaut P, Romieu I. Role of Obesity in the Risk of Breast Cancer: Lessons from Anthropometry. J Oncol. 2013; 2013:19. Available from: \n                    http:\/\/doi.org\/10.1155\/2013\/906495\n                    \n                  .","DOI":"10.1155\/2013\/906495"},{"key":"2681_CR19","doi-asserted-by":"crossref","unstructured":"Goodwin PJ. Obesity and Breast Cancer Outcomes: How Much Evidence Is Needed to Change Practice?J Clin Oncol. 2016; 34(7):646\u20138. PMID: 26712225. Available from \n                    https:\/\/doi.org\/10.1200\/JCO.2015.64.7503\n                    \n                  .","DOI":"10.1200\/JCO.2015.64.7503"},{"key":"2681_CR20","doi-asserted-by":"crossref","unstructured":"De Pergola G, Silvestris F. Obesity as a Major Risk Factor for Cancer. J Obes. 2013; 2013:11. Available from: \n                    http:\/\/dx.doi.org\/10.1155\/2013\/291546\n                    \n                  .","DOI":"10.1155\/2013\/291546"},{"key":"2681_CR21","doi-asserted-by":"crossref","unstructured":"Chan DSM, Norat T. Obesity and Breast Cancer: Not Only a Risk Factor of the Disease. Curr Treat Options Oncol; 16(5):22. Available from: \n                    https:\/\/doi.org\/10.1007\/s11864-015-0341-9\n                    \n                  .","DOI":"10.1007\/s11864-015-0341-9"},{"key":"2681_CR22","doi-asserted-by":"crossref","unstructured":"Granata I, Troiano E, Sangiovannni M, Guarracino M. Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2685-9\n                    \n                  .","DOI":"10.1186\/s12859-019-2685-9"},{"key":"2681_CR23","doi-asserted-by":"crossref","unstructured":"Mardinoglu A, Agren R, Kampf C, Asplund A, Nookaew I, Jacobson P, et al.Integration of clinical data with a genome-scale metabolic model of the human adipocyte. Mol Syst Biol. 2013;9(1). Available from: \n                    http:\/\/msb.embopress.org\/content\/9\/1\/649\n                    \n                  .","DOI":"10.1038\/msb.2013.5"},{"key":"2681_CR24","doi-asserted-by":"crossref","unstructured":"Lee D, Smallbone K, Dunn WB, Murabito E, Winder CL, Kell DB, et al.Improving metabolic flux predictions using absolute gene expression data. BMC Syst Biol. 2012; 6(1):73. Available from: \n                    https:\/\/doi.org\/10.1186\/1752-0509-6-73\n                    \n                  .","DOI":"10.1186\/1752-0509-6-73"},{"key":"2681_CR25","unstructured":"Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0. Available from: \n                    https:\/\/arxiv.org\/abs\/1710.04038v2\n                    \n                  . Accessed 26 Feb 2019."},{"key":"2681_CR26","doi-asserted-by":"crossref","unstructured":"Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al.Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003; 13(11):2498\u2013504. Available from: \n                    http:\/\/www.genome.org\/cgi\/doi\/10.1101\/gr.1239303\n                    \n                  .","DOI":"10.1101\/gr.1239303"},{"key":"2681_CR27","doi-asserted-by":"crossref","unstructured":"Goenawan IH, Bryan K, Lynn DJ. DyNet: visualization and analysis of dynamic molecular interaction networks. Bioinformatics. 2016; 32(17):2713\u20135. Available from: \n                    http:\/\/dx.doi.org\/10.1093\/bioinformatics\/btw187\n                    \n                  .","DOI":"10.1093\/bioinformatics\/btw187"},{"key":"2681_CR28","doi-asserted-by":"crossref","unstructured":"Khakzad A, Malmstr\u00f6m J, Malmstr\u00f6m L. Greedy de novo motif discovery to construct motif repositories for bacterial proteomes. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2686-8\n                    \n                  .","DOI":"10.1186\/s12859-019-2686-8"},{"key":"2681_CR29","unstructured":"The MEME Suite. Available from: \n                    http:\/\/meme-suite.org\/\n                    \n                  . Accessed 26 Feb 2019."},{"key":"2681_CR30","doi-asserted-by":"crossref","unstructured":"Kel A, Boyarskikh U, Stegmaier P, Evshin I, Mandrik N, Koschmann J, et al.Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2687-7\n                    \n                  .","DOI":"10.1186\/s12859-019-2687-7"},{"key":"2681_CR31","doi-asserted-by":"crossref","unstructured":"Kel AE. Search for Master Regulators in Walking Cancer Pathways BT - Biological Networks and Pathway Analysis. New York: Springer New York; 2017. pp. 161\u201391. Available from: \n                    https:\/\/doi.org\/10.1007\/978-1-4939-7027-8_8\n                    \n                  .","DOI":"10.1007\/978-1-4939-7027-8_8"},{"key":"2681_CR32","doi-asserted-by":"crossref","unstructured":"Ongen H, Andersen CL, Bramsen JB, Oster B, Rasmussen MH, Ferreira PG, et al.Putative cis-regulatory drivers in colorectal cancer. Nature. 2014; 512:87. Available from: \n                    https:\/\/doi.org\/10.1038\/nature13602\n                    \n                  .","DOI":"10.1038\/nature13602"},{"key":"2681_CR33","doi-asserted-by":"crossref","unstructured":"Tomasetti C, Vogelstein B. Variation in cancer risk among tissues can be explained by the number of stem cell divisions. Science. 2015; 347(6217):78\u201381. Available from: \n                    http:\/\/science.sciencemag.org\/content\/347\/6217\/78\n                    \n                  .","DOI":"10.1126\/science.1260825"},{"key":"2681_CR34","doi-asserted-by":"crossref","unstructured":"Dumitrescu RG, Cotarla I. Understanding breast cancer risk - where do we stand in 2005?J Cell Mol Med. 2005; 9(1):208\u201321. Available from: \n                    https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/j.1582-4934.2005.tb00350.x\n                    \n                  .","DOI":"10.1111\/j.1582-4934.2005.tb00350.x"},{"key":"2681_CR35","doi-asserted-by":"crossref","unstructured":"\u00d8sterlind A, Tucker MA, Stone BJ, Jensen OM. The Danish case-control study of cutaneous malignant melanoma. II. Importance of UV-light exposure. Int J Cancer. 1988; 42(3):319\u201324. Available from: \n                    https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ijc.2910420303\n                    \n                  .","DOI":"10.1002\/ijc.2910420303"},{"key":"2681_CR36","doi-asserted-by":"crossref","unstructured":"Alexandrov LB, Nik-Zainal S, Wedge DC, Campbell PJ, Stratton MR. Deciphering Signatures of Mutational Processes Operative in Human Cancer. Cell Rep. 2013; 3(1):246\u201359. Available from: \n                    https:\/\/doi.org\/10.1016\/j.celrep.2012.12.008\n                    \n                  .","DOI":"10.1016\/j.celrep.2012.12.008"},{"key":"2681_CR37","doi-asserted-by":"crossref","unstructured":"Shiraishi Y, Tremmel G, Miyano S, Stephens M. A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures. PLoS Genet. 2015; 11(12):1\u201321. Available from: \n                    https:\/\/doi.org\/10.1371\/journal.pgen.1005657\n                    \n                  .","DOI":"10.1371\/journal.pgen.1005657"},{"key":"2681_CR38","doi-asserted-by":"crossref","unstructured":"Kr\u00fcger S, Piro R. decompTumor2Sig: Identification of mutational signatures active in individual tumors. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2688-6\n                    \n                  .","DOI":"10.1186\/s12859-019-2688-6"},{"key":"2681_CR39","doi-asserted-by":"crossref","unstructured":"Quadrini M, Tesei l, Merelli E. An algebraic language for RNA pseudoknots comparison. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2689-5\n                    \n                  .","DOI":"10.1186\/s12859-019-2689-5"},{"key":"2681_CR40","doi-asserted-by":"crossref","unstructured":"Gilbert D, Heiner M, Ghanbar L, Chodak J. Spatial quorum sensing modelling using coloured hybrid Petri nets and simulative model checking. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2690-z\n                    \n                  .","DOI":"10.1186\/s12859-019-2690-z"},{"key":"2681_CR41","doi-asserted-by":"crossref","unstructured":"Lancia G, Bafna V, Istrail S, Lippert R, Schwartz R. SNPs Problems, Complexity, and Algorithms BT - Algorithms \u2014 ESA 2001. Berlin: Springer Berlin Heidelberg; 2001. pp. 182\u201393. Available from: \n                    https:\/\/link.springer.com\/chapter\/10.1007\/3-540-44676-1_15\n                    \n                  .","DOI":"10.1007\/3-540-44676-1_15"},{"key":"2681_CR42","doi-asserted-by":"crossref","unstructured":"Rhee JK, Li H, Joung JG, Hwang KB, Zhang BT, Shin SY. Survey of computational haplotype determination methods for single individual. Genes Genom. 2016; 38(1):1\u201312. Available from: \n                    https:\/\/doi.org\/10.1007\/s13258-015-0342-x\n                    \n                  .","DOI":"10.1007\/s13258-015-0342-x"},{"key":"2681_CR43","doi-asserted-by":"crossref","unstructured":"Tangherloni A, Spolaor S, Rundo L, Nobile M, Cazzaniga P, Mauri G, et al.GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2691-y\n                    \n                  .","DOI":"10.1186\/s12859-019-2691-y"},{"key":"2681_CR44","doi-asserted-by":"crossref","unstructured":"Zandon\u00e0 A, Vasta R, Chi\u00f3 A, Di Camillo B. A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2692-x\n                    \n                  .","DOI":"10.1186\/s12859-019-2692-x"},{"key":"2681_CR45","doi-asserted-by":"crossref","unstructured":"Atassi N, Berry J, Shui A, Zach N, Sherman A, Sinani E, et al.The PRO-ACT database. Neurology. 2014; 83(19):1719\u201325. Available from: \n                    http:\/\/n.neurology.org\/content\/83\/19\/1719\n                    \n                  .","DOI":"10.1212\/WNL.0000000000000951"},{"key":"2681_CR46","unstructured":"Vogenberg FR, Isaacson Barash C, Pursel M. Personalized medicine: part 1: evolution and development into theranostics. P T Peer-Reviewed J Formul Manag. 2010; 35(10):560\u201376. Available from: \n                    https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC2957753\/\n                    \n                  ."},{"key":"2681_CR47","doi-asserted-by":"crossref","unstructured":"Daly AK. Pharmacogenetics: a general review on progress to date. Br Med Bull. 2017; 124(1):65\u201379. Available from: \n                    http:\/\/dx.doi.org\/10.1093\/bmb\/ldx035\n                    \n                  .","DOI":"10.1093\/bmb\/ldx035"},{"key":"2681_CR48","doi-asserted-by":"crossref","unstructured":"Thorn CF, Klein TE, Altman RB. PharmGKB: The Pharmacogenomics Knowledge Base BT - Pharmacogenomics: Methods and Protocols. Totowa: Humana Press; 2013, pp. 311\u201320. Available from: \n                    https:\/\/doi.org\/10.1007\/978-1-62703-435-7_20\n                    \n                  .","DOI":"10.1007\/978-1-62703-435-7_20"},{"key":"2681_CR49","doi-asserted-by":"crossref","unstructured":"Monnin P, Legrand J, Husson G, Ringot P, Tchechmedjiev A, Jonquet C. PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2693-9\n                    \n                  .","DOI":"10.1186\/s12859-019-2693-9"},{"key":"2681_CR50","doi-asserted-by":"crossref","unstructured":"Ferraro Petrillo U, Sorella M, Cattaneo G, Giancarlo R, Rombo SE. Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2694-8\n                    \n                  .","DOI":"10.1186\/s12859-019-2694-8"},{"key":"2681_CR51","doi-asserted-by":"crossref","unstructured":"Navas-Delgado I, Garcia-Neto J, L\u00f3pez-Camacho E, Rybinski M, Lavado R, Berciano Guerrero M, et al.VIGLA-M: Visual gene expression data analytics. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2695-7\n                    \n                  .","DOI":"10.1186\/s12859-019-2695-7"},{"key":"2681_CR52","doi-asserted-by":"crossref","unstructured":"Fassetti F, Giallombardo C, Leone O, Palopoli L, Rombo SE, Saiardi A. FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c \u2192u RNA editing. BMC Bioinformatics. \n                    https:\/\/doi.org\/10.1186\/s12859-019-2696-6\n                    \n                  .","DOI":"10.1186\/s12859-019-2696-6"},{"key":"2681_CR53","doi-asserted-by":"crossref","unstructured":"Fassetti F, Giallombardo C, Leone O, Palopoli L, Rombo SE, Saiardi A. Discovering New Proteins in Plant Mitochondria by RNA Editing Simulation. In: Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016). INSTICC. SciTePress: 2016. p. 182\u20139. Available from: \n                    https:\/\/www.scitepress.org\/papers\/2016\/56649\/56649.pdf\n                    \n                  .","DOI":"10.5220\/0005664901820189"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2681-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-019-2681-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-019-2681-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T23:15:33Z","timestamp":1587078933000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-019-2681-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":53,"journal-issue":{"issue":"S4","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["2681"],"URL":"https:\/\/doi.org\/10.1186\/s12859-019-2681-0","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4]]},"assertion":[{"value":"18 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"125"}}