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Wormbase process and and biology Flybase instru- cell like biology is stem databases Planaria thus genomics, other of comparative and with biology, study genomics databases evolutionary the comparative organism and and enable developmental model regeneration to of other tool study with powerful the a compatible in is structures mental and data interfer- portal provides RNA web and SmedGD single patterns [17]. a expression gene in and phenotypes protein (RNAi) (ESTs), predicted ence tags including sequence genome, The Planarian expressed [16]. the genes, that with [15], annotated associated graphs biology and data interactive Planaria integrating by of with designed study is interface friendly (SmedGD) user Database graphical and a query to enables easy It database enable currated manipulations. manually and a regeneration through morphol- morphologies, tested as Planarian being termed understanding is tool for software experiments Approaches and manupulation [15]. and [14], regeneration regeneration from Planarian ogy in results published on GRUYTER DE h td frgltr ewrsi h eeomn n eeeaino lnra sacmlxdynamic complex a is Planaria, of regeneration and development the in networks regulatory of study The “ Planform uhr tt ocnito neet l uhr aera h journal the read have authors All interest. of conflict no state Authors ” 1] lnomBpoie nomto neprmnso Planarian on experiments on information provides PlanformDB [16]. ’ est n eeycnr that confirm hereby and website s cmde mediterranea Schmidtea Ghosh Genome ’ Publi- s 5 Automatically generated rough PDF by ProofCheck from River Valley Technologies Ltd 6 Im- Semin exploration. for ripe area an planarians: in regeneration tissue and system immune Innate NJ. Oviedo KK, Hoyer TH, Peiris [18] S E, Ross SM, Robb Bioinformat- [17] experiments. regenerative planarian graph-encoded of database and application an Planform: M. Levin TJ, Malone D, morphogen- Lobo regulative [16] understanding to approach computational a patterning: of bioinformatics a Towards M. Levin TJ, Malone D, Lobo [15] reverse- method computational a phenotypes: morphological experimental from networks regulatory Inferring M. Levin screens D, high-throughput Lobo for [14] pipeline analysis image automated an ImagePlane: M. Yandell B, Moore RM, Ross parasite M, human Campbell the S, Flygare in receptors [13] protein-coupled G of repertoire The TA. Day AG, Maule SA, P, Carlson McVeigh MJ, Kimber M, Zamanian [12] Mart C, Grande [11] 2009;10:402 Genom. Curr Vila-Farr analysis. H, Moon sequence H, biological Brandl in [10] applications their and models Markov 2004;22:1315 Hidden Biotechnol. BJ. Nature Yoon model?. [9] Markov 2012;56:67 hidden Biol. a Dev is J What Int SR. mediterranea. Eddy Schmidtea [8] in pathways RNA Small injury. D. Palakodeti and AM, maintenance Resch tissue [7] to response cell stem planarian the of regulators master proteins: junction Gap NJ. Oviedo TH, Peiris [6] Sal MD, Molina [5] Cebri T, Adell [4] M 2013;223:67 B, Evol. Tomiczek F, Genes Lapraz Dev B, planaria. Egger in [3] regeneration and systems cell J Nat Hist. Stem CR. Jochen Tricladida). [2] (Platyhelminthes, fllatworms planarian of classification higher new A B. Jaume R, Marta K, Masaharu S, Ronald [1] References uo.2014;26:295 munol. issue):D599 2013;29:1098 ics. 2013;2:156 Open. Biol esis. 2015;e100429511(6). Biol. Comput PLoS regeneration. planarian engineers 2013;20:583 Biol. Comput J mediterranea. Schmidtea planarian the using 2011;12:596. Genom. BMC mediterranea. Schmidtea organism model the and mansoni Schistosoma 2014;58:521 Biol. Dev J Int Bilateria. the across synthesis a and data new 2016;44:D764 Res. Acids 2013;1828:109 Acta. Biophys Biochim 2015;25:1347 Biol. Curr fllatworms. of tionships 2009;43:1763 Ghosh – à 606. – ,Sal F, ó 1777. í n-Dur ,Cebri E, – 100. á ó ce laaoA mdD h cmde eiernagnm aaae uli cd e.2008;36(Database Res. Acids Nucleic database. genome mediterranea Schmidtea the SmedGD: A. Alvarado nchez – .Gainsi lnra eeeainadhmotss odSrn abPrpc il 2010;2:a000505. Biol. Perspect Harb Spring Cold homeostasis. and regeneration Planarian in Gradients E. 302. á M en J Truchado-Garc NJ, Kenny JM, n à – .Ognzn h Vai uigpaainrgnrto.Cmu nerBo.2011;4:498 Biol. Integr Commun regeneration. planarian during axis DV the Organizing F. 73. – 69. é ,LuS,HnyI ikJ.Pa Mine Plan JC. Rink I, Henry SY, Liu M, ü lrS esmzC ismi ,e l rncitmcpyoeoi nlsso h vltoayrela- evolutionary the of analysis transcriptomic-phylogenomic A al. et J, Girstmair C, Dessimoz S, ller – 17. – 53. í ,Hjo .Eouin iegneadls fteNdlsgaln pathway: signalling Nodal the of loss and divergence Evolution, A. Hejnol M, a – iebersuc fpaainbooyadboiest.Nucleic biodiversity. and biology planarian of resource mineable a – 32. – 92. – 6. – 84. – 74. – 15. – 500. EGRUYTER DE