{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T14:54:01Z","timestamp":1745852041213,"version":"3.40.3"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031585012"},{"type":"electronic","value":"9783031585029"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-58502-9_5","type":"book-chapter","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T14:02:19Z","timestamp":1714140139000},"page":"78-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["IGUANER - DIfferential Gene Expression and\u00a0fUnctionAl aNalyzER"],"prefix":"10.1007","author":[{"given":"Valentina","family":"Pinna","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0505-4190","authenticated-orcid":false,"given":"Jessica","family":"Di Martino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franco","family":"Liberati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4662-2019","authenticated-orcid":false,"given":"Paolo","family":"Bottoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0689-6720","authenticated-orcid":false,"given":"Tiziana","family":"Castrignan\u00f2","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,27]]},"reference":[{"issue":"11","key":"5_CR1","doi-asserted-by":"publisher","first-page":"1727","DOI":"10.1093\/bioinformatics\/btx023","volume":"33","author":"A Alonso","year":"2017","unstructured":"Alonso, A., et al.: aRNApipe: a balanced, efficient and distributed pipeline for processing RNA-Seq data in high-performance computing environments. Bioinformatics 33(11), 1727\u20131729 (2017). https:\/\/doi.org\/10.1093\/bioinformatics\/btx023","journal-title":"Bioinformatics"},{"issue":"1","key":"5_CR2","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner, M., et al.: Gene ontology: tool for the unification of biology. Nat. Genet. 25(1), 25\u201329 (2000). https:\/\/doi.org\/10.1038\/75556","journal-title":"Nat. Genet."},{"issue":"3","key":"5_CR3","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1093\/annonc\/mdw660","volume":"28","author":"M Bolis","year":"2017","unstructured":"Bolis, M., et al.: Network-guided modeling allows tumor-type independent prediction of sensitivity to all-trans-retinoic acid. Ann. Oncol. 28(3), 611\u2013621 (2017). https:\/\/doi.org\/10.1093\/annonc\/mdw660","journal-title":"Ann. Oncol."},{"issue":"12","key":"5_CR4","doi-asserted-by":"publisher","first-page":"5825","DOI":"10.1093\/molbev\/msab293","volume":"38","author":"CP Cantalapiedra","year":"2021","unstructured":"Cantalapiedra, C.P., et al.: eggnog-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol. Biol. Evol. 38(12), 5825\u20135829 (2021). https:\/\/doi.org\/10.1093\/molbev\/msab293","journal-title":"Mol. Biol. Evol."},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Castrignan\u00f2, T., et al.: ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization. Nucleic Acids Res. 34(WEB. SERV. ISS.), W440\u2013W443 (2006). https:\/\/doi.org\/10.1093\/nar\/gkl324","DOI":"10.1093\/nar\/gkl324"},{"issue":"10","key":"5_CR6","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.1093\/bioinformatics\/btn113","volume":"24","author":"T Castrignan\u00f2","year":"2008","unstructured":"Castrignan\u00f2, T., et al.: ASPicDB: a database resource for alternative splicing analysis. Bioinformatics 24(10), 1300\u20131304 (2008). https:\/\/doi.org\/10.1093\/bioinformatics\/btn113","journal-title":"Bioinformatics"},{"key":"5_CR7","doi-asserted-by":"publisher","unstructured":"Castrignan\u00f2, T., et al.: ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community. BMC Bioinform. 21 (2020). https:\/\/doi.org\/10.1186\/s12859-020-03565-8","DOI":"10.1186\/s12859-020-03565-8"},{"key":"5_CR8","doi-asserted-by":"publisher","unstructured":"Chiara, M., et al.: CoVaCS: a consensus variant calling system. BMC Genom. 19(1) (2018). https:\/\/doi.org\/10.1186\/s12864-018-4508-1","DOI":"10.1186\/s12864-018-4508-1"},{"key":"5_CR9","doi-asserted-by":"publisher","unstructured":"Chiocchio, A., et al.: Brain de novo transcriptome assembly of a toad species showing polymorphic anti-predatory behavior. Sci. Data 9(1) (2022). https:\/\/doi.org\/10.1038\/s41597-022-01724-5","DOI":"10.1038\/s41597-022-01724-5"},{"key":"5_CR10","doi-asserted-by":"publisher","unstructured":"Cirilli, M., et al.: PeachVar-DB: a curated collection of genetic variations for the interactive analysis of peach genome data. Plant Cell Physiol. 59(1) (2018). https:\/\/doi.org\/10.1093\/pcp\/pcx183","DOI":"10.1093\/pcp\/pcx183"},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"Consortium, T.U.: UniProt: the universal protein knowledgebase in 2023. Nucleic Acids Res. 51(D1), D523\u2013D531 (2022). https:\/\/doi.org\/10.1093\/nar\/gkac1052","DOI":"10.1093\/nar\/gkac1052"},{"key":"5_CR12","doi-asserted-by":"publisher","unstructured":"Consortium The Gene Ontology: The gene ontology knowledgebase in 2023. Genetics 224(1), iyad031 (2023). https:\/\/doi.org\/10.1093\/genetics\/iyad031","DOI":"10.1093\/genetics\/iyad031"},{"issue":"12","key":"5_CR13","doi-asserted-by":"publisher","first-page":"e0190152","DOI":"10.1371\/journal.pone.0190152","volume":"12","author":"J Costa-Silva","year":"2017","unstructured":"Costa-Silva, J., Domingues, D., Lopes, F.M.: RNA-Seq differential expression analysis: an extended review and a software tool. PLoS ONE 12(12), e0190152 (2017). https:\/\/doi.org\/10.1371\/journal.pone.0190152","journal-title":"PLoS ONE"},{"key":"5_CR14","doi-asserted-by":"publisher","unstructured":"Flati, T., et al.: A gene expression atlas for different kinds of stress in the mouse brain. Sci. Data 7(1) (2020). https:\/\/doi.org\/10.1038\/s41597-020-00772-z","DOI":"10.1038\/s41597-020-00772-z"},{"key":"5_CR15","doi-asserted-by":"publisher","unstructured":"Flati, T., et al.: HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis. BMC Bioinform. 21 (2020). https:\/\/doi.org\/10.1186\/s12859-020-03562-x","DOI":"10.1186\/s12859-020-03562-x"},{"key":"5_CR16","doi-asserted-by":"publisher","unstructured":"Ge, S.X., Son, E.W., Yao, R.: iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinform. 19(1) (2018). https:\/\/doi.org\/10.1186\/s12859-018-2486-6","DOI":"10.1186\/s12859-018-2486-6"},{"issue":"D1","key":"5_CR17","doi-asserted-by":"publisher","first-page":"D687","DOI":"10.1093\/nar\/gkab1028","volume":"50","author":"M Gillespie","year":"2022","unstructured":"Gillespie, M., et al.: The reactome pathway knowledgebase 2022. Nucleic Acids Res. 50(D1), D687\u2013D692 (2022). https:\/\/doi.org\/10.1093\/nar\/gkab1028","journal-title":"Nucleic Acids Res."},{"issue":"10","key":"5_CR18","doi-asserted-by":"publisher","first-page":"e26168","DOI":"10.1371\/journal.pone.0026168","volume":"6","author":"Q Huang","year":"2011","unstructured":"Huang, Q., et al.: RNA-Seq analyses generate comprehensive transcriptomic landscape and reveal complex transcript patterns in hepatocellular carcinoma. PLoS ONE 6(10), e26168 (2011). https:\/\/doi.org\/10.1371\/journal.pone.0026168","journal-title":"PLoS ONE"},{"issue":"3","key":"5_CR19","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MCSE.2007.55","volume":"9","author":"JD Hunter","year":"2007","unstructured":"Hunter, J.D.: Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9(3), 90\u201395 (2007). https:\/\/doi.org\/10.1109\/MCSE.2007.55","journal-title":"Comput. Sci. Eng."},{"key":"5_CR20","doi-asserted-by":"publisher","unstructured":"Jimenez-Jacinto, V., Sanchez-Flores, A., Vega-Alvarado, L.: Integrative differential expression analysis for multiple experiments (IDEAMEX): a web server tool for integrated RNA-Seq data analysis. Front. Genet. 10(MAR) (2019). https:\/\/doi.org\/10.3389\/fgene.2019.00279","DOI":"10.3389\/fgene.2019.00279"},{"key":"5_CR21","doi-asserted-by":"publisher","unstructured":"Kalari, K.R., et al.: MAP-RSeq: mayo analysis pipeline for RNA sequencing. BMC Bioinform. 15(1) (2014). https:\/\/doi.org\/10.1186\/1471-2105-15-224","DOI":"10.1186\/1471-2105-15-224"},{"issue":"1","key":"5_CR22","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa, M., Goto, S.: KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28(1), 27\u201330 (2000). https:\/\/doi.org\/10.1093\/nar\/28.1.27","journal-title":"Nucleic Acids Res."},{"issue":"4","key":"5_CR23","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1016\/j.jmb.2015.11.006","volume":"428","author":"M Kanehisa","year":"2016","unstructured":"Kanehisa, M., Sato, Y., Morishima, K.: BlastKOALA and ghostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428(4), 726\u2013731 (2016). https:\/\/doi.org\/10.1016\/j.jmb.2015.11.006","journal-title":"J. Mol. Biol."},{"issue":"D1","key":"5_CR24","doi-asserted-by":"publisher","first-page":"D353","DOI":"10.1093\/nar\/gkw1092","volume":"45","author":"M Kanehisa","year":"2017","unstructured":"Kanehisa, M., et al.: KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45(D1), D353\u2013D361 (2017). https:\/\/doi.org\/10.1093\/nar\/gkw1092","journal-title":"Nucleic Acids Res."},{"issue":"D1","key":"5_CR25","doi-asserted-by":"publisher","first-page":"D587","DOI":"10.1093\/nar\/gkac963","volume":"51","author":"M Kanehisa","year":"2023","unstructured":"Kanehisa, M., et al.: KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51(D1), D587\u2013D592 (2023). https:\/\/doi.org\/10.1093\/nar\/gkac963","journal-title":"Nucleic Acids Res."},{"key":"5_CR26","doi-asserted-by":"publisher","unstructured":"Kohen, R., et al.: UTAP: user-friendly transcriptome analysis pipeline. BMC Bioinform. 20(1) (2019). https:\/\/doi.org\/10.1186\/s12859-019-2728-2","DOI":"10.1186\/s12859-019-2728-2"},{"issue":"1","key":"5_CR27","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1186\/1471-2105-9-559","volume":"9","author":"P Langfelder","year":"2008","unstructured":"Langfelder, P., Horvath, S.: WGCNA: an R package for weighted correlation network analysis. BMC Bioinform. 9(1), 559 (2008). https:\/\/doi.org\/10.1186\/1471-2105-9-559","journal-title":"BMC Bioinform."},{"key":"5_CR28","doi-asserted-by":"publisher","unstructured":"Libro, P., et al.: First brain de novo transcriptome of the Tyrrhenian tree frog, Hyla sarda, for the study of dispersal behavior. Front. Ecol. Evol. 10 (2022). https:\/\/doi.org\/10.3389\/fevo.2022.947186","DOI":"10.3389\/fevo.2022.947186"},{"key":"5_CR29","doi-asserted-by":"publisher","unstructured":"Libro, P., et al.: De novo transcriptome assembly and annotation for gene discovery in salamandra salamandra at the larval stage. Sci. Data 10(1) (2023). https:\/\/doi.org\/10.1038\/s41597-023-02217-9","DOI":"10.1038\/s41597-023-02217-9"},{"issue":"W1","key":"5_CR30","doi-asserted-by":"publisher","first-page":"W622","DOI":"10.1093\/nar\/gks540","volume":"40","author":"M Lohse","year":"2012","unstructured":"Lohse, M., et al.: RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics. Nucleic Acids Res. 40(W1), W622\u2013W627 (2012). https:\/\/doi.org\/10.1093\/nar\/gks540","journal-title":"Nucleic Acids Res."},{"key":"5_CR31","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.ibiod.2012.04.016","volume":"73","author":"V Lombardozzi","year":"2012","unstructured":"Lombardozzi, V., et al.: An interactive database for an ecological analysis of stone biopitting. Int. Biodeterior. Biodegrad. 73, 8\u201315 (2012). https:\/\/doi.org\/10.1016\/j.ibiod.2012.04.016","journal-title":"Int. Biodeterior. Biodegrad."},{"issue":"12","key":"5_CR32","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","volume":"15","author":"MI Love","year":"2014","unstructured":"Love, M.I., Huber, W., Anders, S.: Moderated estimation of fold change and dispersion for RNA-Seq data with DESeq2. Genome Biol. 15(12), 550 (2014). https:\/\/doi.org\/10.1186\/s13059-014-0550-8","journal-title":"Genome Biol."},{"issue":"4","key":"5_CR33","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1007\/s00018-009-0180-6","volume":"67","author":"S Marguerat","year":"2010","unstructured":"Marguerat, S., B\u00e4hler, J.: RNA-Seq: from technology to biology. Cell. Mol. Life Sci. 67(4), 569\u2013579 (2010). https:\/\/doi.org\/10.1007\/s00018-009-0180-6","journal-title":"Cell. Mol. Life Sci."},{"key":"5_CR34","doi-asserted-by":"publisher","unstructured":"McKinney, W.: Data structures for statistical computing in python. In: van\u00a0der Walt, S., Millman, J. (eds.) Proceedings of the 9th Python in Science Conference, pp. 56\u201361 (2010). https:\/\/doi.org\/10.25080\/Majora-92bf1922-00a","DOI":"10.25080\/Majora-92bf1922-00a"},{"issue":"D1","key":"5_CR35","doi-asserted-by":"publisher","first-page":"D412","DOI":"10.1093\/nar\/gkaa913","volume":"49","author":"J Mistry","year":"2021","unstructured":"Mistry, J., et al.: Pfam: the protein families database in 2021. Nucleic Acids Res. 49(D1), D412\u2013D419 (2021). https:\/\/doi.org\/10.1093\/nar\/gkaa913","journal-title":"Nucleic Acids Res."},{"key":"5_CR36","doi-asserted-by":"publisher","unstructured":"Monier, B., et al.: IRIS-EDA: an integrated RNA-Seq interpretation system for gene expression data analysis. PLoS Comput. Biol. 15(2) (2019). https:\/\/doi.org\/10.1371\/journal.pcbi.1006792","DOI":"10.1371\/journal.pcbi.1006792"},{"key":"5_CR37","doi-asserted-by":"publisher","unstructured":"Palomba, M., et al.: De novo transcriptome assembly and annotation of the third stage larvae of the zoonotic parasite Anisakis pegreffii. BMC Res. Notes 15(1) (2022). https:\/\/doi.org\/10.1186\/s13104-022-06099-9","DOI":"10.1186\/s13104-022-06099-9"},{"key":"5_CR38","doi-asserted-by":"publisher","unstructured":"Palomba, M., et al.: De novo transcriptome assembly of an Antarctic nematode for the study of thermal adaptation in marine parasites. Sci. Data 10(1) (2023). https:\/\/doi.org\/10.1038\/s41597-023-02591-4","DOI":"10.1038\/s41597-023-02591-4"},{"issue":"4","key":"5_CR39","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1038\/nmeth.4197","volume":"14","author":"R Patro","year":"2017","unstructured":"Patro, R., et al.: Salmon provides fast and bias-aware quantification of transcript expression. Nat. Methods 14(4), 417\u2013419 (2017). https:\/\/doi.org\/10.1038\/nmeth.4197","journal-title":"Nat. Methods"},{"issue":"3","key":"5_CR40","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1038\/nbt.3122","volume":"33","author":"M Pertea","year":"2015","unstructured":"Pertea, M., et al.: StringTie enables improved reconstruction of a transcriptome from RNA-Seq reads. Nat. Biotechnol. 33(3), 290\u2013295 (2015). https:\/\/doi.org\/10.1038\/nbt.3122","journal-title":"Nat. Biotechnol."},{"issue":"9","key":"5_CR41","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1093\/bioinformatics\/btr117","volume":"27","author":"E Picardi","year":"2011","unstructured":"Picardi, E., et al.: ExpEdit: a webserver to explore human RNA editing in RNA-Seq experiments. Bioinformatics 27(9), 1311\u20131312 (2011). https:\/\/doi.org\/10.1093\/bioinformatics\/btr117","journal-title":"Bioinformatics"},{"key":"5_CR42","doi-asserted-by":"publisher","unstructured":"Reyes, A., et al.: GENAVi: a shiny web application for gene expression normalization, analysis and visualization. BMC Genom. 20(1) (2019). https:\/\/doi.org\/10.1186\/s12864-019-6073-7","DOI":"10.1186\/s12864-019-6073-7"},{"issue":"4","key":"5_CR43","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1016\/j.drudis.2017.01.014","volume":"22","author":"B Schmidt","year":"2017","unstructured":"Schmidt, B., Hildebrandt, A.: Next-generation sequencing: big data meets high performance computing. Drug Discov. Today 22(4), 712\u2013717 (2017). https:\/\/doi.org\/10.1016\/j.drudis.2017.01.014","journal-title":"Drug Discov. Today"},{"key":"5_CR44","doi-asserted-by":"publisher","unstructured":"Su, W., Sun, J., Shimizu, K., Kadota, K.: TCC-GUI: a shiny-based application for differential expression analysis of RNA-Seq count data. BMC Res. Notes 12(1) (2019). https:\/\/doi.org\/10.1186\/s13104-019-4179-2","DOI":"10.1186\/s13104-019-4179-2"},{"key":"5_CR45","doi-asserted-by":"publisher","unstructured":"Surachat, K., et al.: aTAP: automated transcriptome analysis platform for processing RNA-Seq data by de novo assembly. Heliyon 8(8) (2022). https:\/\/doi.org\/10.1016\/j.heliyon.2022.e10255","DOI":"10.1016\/j.heliyon.2022.e10255"},{"issue":"2","key":"5_CR46","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1080\/21553769.2016.1178180","volume":"9","author":"R Tripathi","year":"2016","unstructured":"Tripathi, R., et al.: Next-generation sequencing revolution through big data analytics. Front. Life Sci. 9(2), 119\u2013149 (2016). https:\/\/doi.org\/10.1080\/21553769.2016.1178180","journal-title":"Front. Life Sci."},{"issue":"1","key":"5_CR47","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1038\/nrg2484","volume":"10","author":"Z Wang","year":"2009","unstructured":"Wang, Z., Gerstein, M., Snyder, M.: RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10(1), 57\u201363 (2009). https:\/\/doi.org\/10.1038\/nrg2484","journal-title":"Nat. Rev. Genet."},{"key":"5_CR48","doi-asserted-by":"publisher","DOI":"10.1002\/9781119454205","volume-title":"An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences","author":"K Weaver","year":"2017","unstructured":"Weaver, K., et al.: An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences. Wiley, Hoboken (2017). https:\/\/doi.org\/10.1002\/9781119454205"},{"key":"5_CR49","doi-asserted-by":"crossref","unstructured":"Wickham, H.: ggplot2: Elegant Graphics for Data Analysis. Springer, New York (2016), https:\/\/ggplot2.tidyverse.org","DOI":"10.1007\/978-3-319-24277-4"},{"key":"5_CR50","unstructured":"Wickham, H., Vaughan, D., Girlich, M.: tidyr: tidy messy data (2023). https:\/\/tidyr.tidyverse.org"},{"key":"5_CR51","unstructured":"Wickham H., et al.: dplyr: a grammar of data manipulation (2023). https:\/\/dplyr.tidyverse.org"},{"key":"5_CR52","doi-asserted-by":"crossref","unstructured":"Wu, T., et al.: clusterprofiler 4.0: a universal enrichment tool for interpreting omics data. Innov. (Camb.) 2(3), 100141 (2021). https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666675821000667","DOI":"10.1016\/j.xinn.2021.100141"},{"issue":"5","key":"5_CR53","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1089\/omi.2011.0118","volume":"16","author":"G Yu","year":"2012","unstructured":"Yu, G., et al.: clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: J. Integr. Biol. 16(5), 284\u2013287 (2012). https:\/\/doi.org\/10.1089\/omi.2011.0118","journal-title":"OMICS: J. Integr. Biol."}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics in Astronomy, Science, and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58502-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T14:03:26Z","timestamp":1714140206000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58502-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031585012","9783031585029"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58502-9_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aizu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigda2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/web-ext.u-aizu.ac.jp\/labs\/is-ds\/BDA2023-Aizu.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}