[{"page":"2918-2931","date_created":"2018-12-11T11:46:29Z","date_published":"2018-04-06T00:00:00Z","doi":"10.1093/nar/gky079","year":"2018","has_accepted_license":"1","isi":1,"publication":"Nucleic Acids Research","day":"06","oa":1,"quality_controlled":"1","publisher":"Oxford University Press","article_processing_charge":"Yes (in subscription journal)","external_id":{"isi":["000429009500021"]},"author":[{"id":"42D9CABC-F248-11E8-B48F-1D18A9856A87","first_name":"Nela","last_name":"Nikolic","full_name":"Nikolic, Nela","orcid":"0000-0001-9068-6090"},{"first_name":"Tobias","id":"2C471CFA-F248-11E8-B48F-1D18A9856A87","full_name":"Bergmiller, Tobias","orcid":"0000-0001-5396-4346","last_name":"Bergmiller"},{"first_name":"Alexandra","full_name":"Vandervelde, Alexandra","last_name":"Vandervelde"},{"last_name":"Albanese","full_name":"Albanese, Tanino","first_name":"Tanino"},{"first_name":"Lendert","last_name":"Gelens","full_name":"Gelens, Lendert"},{"full_name":"Moll, Isabella","last_name":"Moll","first_name":"Isabella"}],"title":"Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations","citation":{"mla":"Nikolic, Nela, et al. “Autoregulation of MazEF Expression Underlies Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research, vol. 46, no. 6, Oxford University Press, 2018, pp. 2918–31, doi:10.1093/nar/gky079.","short":"N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, I. Moll, Nucleic Acids Research 46 (2018) 2918–2931.","ieee":"N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, and I. Moll, “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations,” Nucleic Acids Research, vol. 46, no. 6. Oxford University Press, pp. 2918–2931, 2018.","ama":"Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. 2018;46(6):2918-2931. doi:10.1093/nar/gky079","apa":"Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., & Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. Oxford University Press. https://doi.org/10.1093/nar/gky079","chicago":"Nikolic, Nela, Tobias Bergmiller, Alexandra Vandervelde, Tanino Albanese, Lendert Gelens, and Isabella Moll. “Autoregulation of MazEF Expression Underlies Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research. Oxford University Press, 2018. https://doi.org/10.1093/nar/gky079.","ista":"Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. 2018. Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. 46(6), 2918–2931."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","project":[{"name":"FWF Open Access Fund","call_identifier":"FWF","_id":"3AC91DDA-15DF-11EA-824D-93A3E7B544D1"}],"volume":46,"related_material":{"record":[{"relation":"popular_science","id":"5569","status":"public"}]},"issue":"6","publication_status":"published","language":[{"iso":"eng"}],"file":[{"relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_id":"5151","checksum":"3ff4f545c27e11a4cd20ccb30778793e","creator":"system","file_size":5027978,"date_updated":"2020-07-14T12:46:27Z","file_name":"IST-2018-971-v1+1_2018_Nikoloc_Autoregulation_of.pdf","date_created":"2018-12-12T10:15:30Z"}],"scopus_import":"1","intvolume":" 46","month":"04","abstract":[{"lang":"eng","text":"The MazF toxin sequence-specifically cleaves single-stranded RNA upon various stressful conditions, and it is activated as a part of the mazEF toxin–antitoxin module in Escherichia coli. Although autoregulation of mazEF expression through the MazE antitoxin-dependent transcriptional repression has been biochemically characterized, less is known about post-transcriptional autoregulation, as well as how both of these autoregulatory features affect growth of single cells during conditions that promote MazF production. Here, we demonstrate post-transcriptional autoregulation of mazF expression dynamics by MazF cleaving its own transcript. Single-cell analyses of bacterial populations during ectopic MazF production indicated that two-level autoregulation of mazEF expression influences cell-to-cell growth rate heterogeneity. The increase in growth rate heterogeneity is governed by the MazE antitoxin, and tuned by the MazF-dependent mazF mRNA cleavage. Also, both autoregulatory features grant rapid exit from the stress caused by mazF overexpression. Time-lapse microscopy revealed that MazF-mediated cleavage of mazF mRNA leads to increased temporal variability in length of individual cells during ectopic mazF overexpression, as explained by a stochastic model indicating that mazEF mRNA cleavage underlies temporal fluctuations in MazF levels during stress."}],"oa_version":"Published Version","department":[{"_id":"CaGu"}],"file_date_updated":"2020-07-14T12:46:27Z","date_updated":"2024-02-21T13:44:45Z","ddc":["576"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","pubrep_id":"971","status":"public","_id":"438"},{"month":"08","intvolume":" 7","scopus_import":"1","oa_version":"Published Version","abstract":[{"lang":"eng","text":"XY systems usually show chromosome-wide compensation of X-linked genes, while in many ZW systems, compensation is restricted to a minority of dosage-sensitive genes. Why such differences arose is still unclear. Here, we combine comparative genomics, transcriptomics and proteomics to obtain a complete overview of the evolution of gene dosage on the Z-chromosome of Schistosoma parasites. We compare the Z-chromosome gene content of African (Schistosoma mansoni and S. haematobium) and Asian (S. japonicum) schistosomes and describe lineage-specific evolutionary strata. We use these to assess gene expression evolution following sex-linkage. The resulting patterns suggest a reduction in expression of Z-linked genes in females, combined with upregulation of the Z in both sexes, in line with the first step of Ohno’s classic model of dosage compensation evolution. Quantitative proteomics suggest that post-transcriptional mechanisms do not play a major role in balancing the expression of Z-linked genes. "}],"volume":7,"related_material":{"record":[{"status":"public","id":"5586","relation":"popular_science"}]},"file":[{"file_name":"2018_eLife_Picard.pdf","date_created":"2018-12-17T11:55:05Z","file_size":3158125,"date_updated":"2020-07-14T12:44:43Z","creator":"dernst","file_id":"5695","checksum":"d6331d4385b1fffd6b47b45d5949d841","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"language":[{"iso":"eng"}],"publication_status":"published","status":"public","article_type":"original","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"_id":"131","department":[{"_id":"BeVi"}],"file_date_updated":"2020-07-14T12:44:43Z","ddc":["570"],"date_updated":"2024-02-21T13:45:12Z","quality_controlled":"1","publisher":"eLife Sciences Publications","oa":1,"acknowledgement":"We are grateful to Lu Dabing (Soochow University, Suzhou, China) for providing Schistosoma japonicum samples, to Ariana Macon (IST Austria) and Georgette Stovall (JLU Giessen) for technical assistance, to IT support at IST Austria for providing optimal environment to bioinformatic analyses, and to the Vicoso lab for comments on the manuscript.","date_published":"2018-08-13T00:00:00Z","doi":"10.7554/eLife.35684","date_created":"2018-12-11T11:44:47Z","day":"13","publication":"eLife","isi":1,"has_accepted_license":"1","year":"2018","project":[{"_id":"250ED89C-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P28842-B22","name":"Sex chromosome evolution under male- and female- heterogamety"}],"article_number":"e35684","title":"Evolution of gene dosage on the Z-chromosome of schistosome parasites","author":[{"last_name":"Picard","orcid":"0000-0002-8101-2518","full_name":"Picard, Marion A","first_name":"Marion A","id":"2C921A7A-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Celine","last_name":"Cosseau","full_name":"Cosseau, Celine"},{"first_name":"Sabrina","last_name":"Ferré","full_name":"Ferré, Sabrina"},{"first_name":"Thomas","last_name":"Quack","full_name":"Quack, Thomas"},{"first_name":"Christoph","last_name":"Grevelding","full_name":"Grevelding, Christoph"},{"first_name":"Yohann","last_name":"Couté","full_name":"Couté, Yohann"},{"last_name":"Vicoso","orcid":"0000-0002-4579-8306","full_name":"Vicoso, Beatriz","first_name":"Beatriz","id":"49E1C5C6-F248-11E8-B48F-1D18A9856A87"}],"publist_id":"7792","article_processing_charge":"No","external_id":{"isi":["000441388200001"]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"ista":"Picard MAL, Cosseau C, Ferré S, Quack T, Grevelding C, Couté Y, Vicoso B. 2018. Evolution of gene dosage on the Z-chromosome of schistosome parasites. eLife. 7, e35684.","chicago":"Picard, Marion A L, Celine Cosseau, Sabrina Ferré, Thomas Quack, Christoph Grevelding, Yohann Couté, and Beatriz Vicoso. “Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites.” ELife. eLife Sciences Publications, 2018. https://doi.org/10.7554/eLife.35684.","ieee":"M. A. L. Picard et al., “Evolution of gene dosage on the Z-chromosome of schistosome parasites,” eLife, vol. 7. eLife Sciences Publications, 2018.","short":"M.A.L. Picard, C. Cosseau, S. Ferré, T. Quack, C. Grevelding, Y. Couté, B. Vicoso, ELife 7 (2018).","apa":"Picard, M. A. L., Cosseau, C., Ferré, S., Quack, T., Grevelding, C., Couté, Y., & Vicoso, B. (2018). Evolution of gene dosage on the Z-chromosome of schistosome parasites. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.35684","ama":"Picard MAL, Cosseau C, Ferré S, et al. Evolution of gene dosage on the Z-chromosome of schistosome parasites. eLife. 2018;7. doi:10.7554/eLife.35684","mla":"Picard, Marion A. L., et al. “Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites.” ELife, vol. 7, e35684, eLife Sciences Publications, 2018, doi:10.7554/eLife.35684."}},{"oa":1,"publisher":"Institute of Science and Technology Austria","month":"03","abstract":[{"text":"This package contains data for the publication \"Nonlinear decoding of a complex movie from the mammalian retina\" by Deny S. et al, PLOS Comput Biol (2018). \r\n\r\nThe data consists of\r\n(i) 91 spike sorted, isolated rat retinal ganglion cells that pass stability and quality criteria, recorded on the multi-electrode array, in response to the presentation of the complex movie with many randomly moving dark discs. The responses are represented as 648000 x 91 binary matrix, where the first index indicates the timebin of duration 12.5 ms, and the second index the neural identity. The matrix entry is 0/1 if the neuron didn't/did spike in the particular time bin.\r\n(ii) README file and a graphical illustration of the structure of the experiment, specifying how the 648000 timebins are split into epochs where 1, 2, 4, or 10 discs were displayed, and which stimulus segments are exact repeats or unique ball trajectories.\r\n(iii) a 648000 x 400 matrix of luminance traces for each of the 20 x 20 positions (\"sites\") in the movie frame, with time that is locked to the recorded raster. The luminance traces are produced as described in the manuscript by filtering the raw disc movie with a small gaussian spatial kernel. ","lang":"eng"}],"oa_version":"Published Version","date_created":"2018-12-12T12:31:39Z","related_material":{"record":[{"relation":"used_in_publication","id":"292","status":"public"}]},"doi":"10.15479/AT:ISTA:98","date_published":"2018-03-29T00:00:00Z","year":"2018","datarep_id":"98","has_accepted_license":"1","day":"29","file":[{"relation":"main_file","access_level":"open_access","content_type":"application/octet-stream","file_id":"5590","checksum":"6808748837b9afbbbabc2a356ca2b88a","creator":"system","file_size":1142543971,"date_updated":"2020-07-14T12:47:07Z","file_name":"IST-2018-98-v1+1_BBalls_area2_tile2_20x20.mat","date_created":"2018-12-12T13:02:24Z"},{"date_created":"2018-12-12T13:02:25Z","file_name":"IST-2018-98-v1+2_ExperimentStructure.pdf","date_updated":"2020-07-14T12:47:07Z","file_size":702336,"creator":"system","checksum":"d6d6cd07743038fe3a12352983fcf9dd","file_id":"5591","content_type":"application/pdf","access_level":"open_access","relation":"main_file"},{"content_type":"application/octet-stream","relation":"main_file","access_level":"open_access","checksum":"0c9cfb4dab35bb3dc25a04395600b1c8","file_id":"5592","file_size":432,"date_updated":"2020-07-14T12:47:07Z","creator":"system","file_name":"IST-2018-98-v1+3_GoodLocations_area2_20x20.mat","date_created":"2018-12-12T13:02:26Z"},{"checksum":"2a83b011012e21e934b4596285b1a183","file_id":"5593","content_type":"text/plain","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T13:02:26Z","file_name":"IST-2018-98-v1+4_README.txt","date_updated":"2020-07-14T12:47:07Z","file_size":986,"creator":"system"}],"tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"type":"research_data","keyword":["retina","decoding","regression","neural networks","complex stimulus"],"project":[{"name":"Sensitivity to higher-order statistics in natural scenes","grant_number":"P 25651-N26","_id":"254D1A94-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"status":"public","_id":"5584","article_processing_charge":"No","author":[{"first_name":"Stephane","last_name":"Deny","full_name":"Deny, Stephane"},{"full_name":"Marre, Olivier","last_name":"Marre","first_name":"Olivier"},{"full_name":"Botella-Soler, Vicente","last_name":"Botella-Soler","first_name":"Vicente"},{"id":"3A276B68-F248-11E8-B48F-1D18A9856A87","first_name":"Georg S","last_name":"Martius","full_name":"Martius, Georg S"},{"last_name":"Tkacik","full_name":"Tkacik, Gasper","orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gasper"}],"department":[{"_id":"ChLa"},{"_id":"GaTk"}],"title":"Nonlinear decoding of a complex movie from the mammalian retina","file_date_updated":"2020-07-14T12:47:07Z","date_updated":"2024-02-21T13:45:26Z","citation":{"apa":"Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98","ama":"Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. Nonlinear decoding of a complex movie from the mammalian retina. 2018. doi:10.15479/AT:ISTA:98","short":"S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkačik, (2018).","ieee":"S. Deny, O. Marre, V. Botella-Soler, G. S. Martius, and G. Tkačik, “Nonlinear decoding of a complex movie from the mammalian retina.” Institute of Science and Technology Austria, 2018.","mla":"Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:98.","ista":"Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. 2018. Nonlinear decoding of a complex movie from the mammalian retina, Institute of Science and Technology Austria, 10.15479/AT:ISTA:98.","chicago":"Deny, Stephane, Olivier Marre, Vicente Botella-Soler, Georg S Martius, and Gašper Tkačik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:98."},"ddc":["570"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"acknowledgement":"ERC, Grant/Award Number: 250152","publisher":"Wiley","quality_controlled":"1","publication":"Molecular Ecology Resources","day":"01","year":"2018","isi":1,"date_created":"2018-12-11T11:45:37Z","date_published":"2018-09-01T00:00:00Z","doi":"10.1111/1755-0998.12782","page":"988 - 999","project":[{"grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation","call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"chicago":"Ellis, Thomas, David Field, and Nicholas H Barton. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources. Wiley, 2018. https://doi.org/10.1111/1755-0998.12782.","ista":"Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 18(5), 988–999.","mla":"Ellis, Thomas, et al. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources, vol. 18, no. 5, Wiley, 2018, pp. 988–99, doi:10.1111/1755-0998.12782.","ama":"Ellis T, Field D, Barton NH. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 2018;18(5):988-999. doi:10.1111/1755-0998.12782","apa":"Ellis, T., Field, D., & Barton, N. H. (2018). Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.12782","ieee":"T. Ellis, D. Field, and N. H. Barton, “Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering,” Molecular Ecology Resources, vol. 18, no. 5. Wiley, pp. 988–999, 2018.","short":"T. Ellis, D. Field, N.H. Barton, Molecular Ecology Resources 18 (2018) 988–999."},"title":"Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering","article_processing_charge":"No","external_id":{"isi":["000441753000007"]},"author":[{"orcid":"0000-0002-8511-0254","full_name":"Ellis, Thomas","last_name":"Ellis","first_name":"Thomas","id":"3153D6D4-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Field","full_name":"Field, David","orcid":"0000-0002-4014-8478","first_name":"David","id":"419049E2-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","last_name":"Barton","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"None","abstract":[{"text":"Pedigree and sibship reconstruction are important methods in quantifying relationships and fitness of individuals in natural populations. Current methods employ a Markov chain-based algorithm to explore plausible possible pedigrees iteratively. This provides accurate results, but is time-consuming. Here, we develop a method to infer sibship and paternity relationships from half-sibling arrays of known maternity using hierarchical clustering. Given 50 or more unlinked SNP markers and empirically derived error rates, the method performs as well as the widely used package Colony, but is faster by two orders of magnitude. Using simulations, we show that the method performs well across contrasting mating scenarios, even when samples are large. We then apply the method to open-pollinated arrays of the snapdragon Antirrhinum majus and find evidence for a high degree of multiple mating. Although we focus on diploid SNP data, the method does not depend on marker type and as such has broad applications in nonmodel systems. ","lang":"eng"}],"intvolume":" 18","month":"09","scopus_import":"1","language":[{"iso":"eng"}],"publication_status":"published","ec_funded":1,"issue":"5","related_material":{"record":[{"status":"public","id":"5583","relation":"popular_science"}]},"volume":18,"_id":"286","status":"public","type":"journal_article","date_updated":"2024-02-21T13:45:00Z","department":[{"_id":"NiBa"}]},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["570"],"date_updated":"2024-02-21T13:45:12Z","citation":{"chicago":"Vicoso, Beatriz. “Input Files and Scripts from ‘Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites’ by Picard M.A.L., et Al (2018).” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:109.","ista":"Vicoso B. 2018. Input files and scripts from ‘Evolution of gene dosage on the Z-chromosome of schistosome parasites’ by Picard M.A.L., et al (2018), Institute of Science and Technology Austria, 10.15479/AT:ISTA:109.","mla":"Vicoso, Beatriz. Input Files and Scripts from “Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites” by Picard M.A.L., et Al (2018). Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:109.","ama":"Vicoso B. Input files and scripts from “Evolution of gene dosage on the Z-chromosome of schistosome parasites” by Picard M.A.L., et al (2018). 2018. doi:10.15479/AT:ISTA:109","apa":"Vicoso, B. (2018). Input files and scripts from “Evolution of gene dosage on the Z-chromosome of schistosome parasites” by Picard M.A.L., et al (2018). Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:109","short":"B. Vicoso, (2018).","ieee":"B. Vicoso, “Input files and scripts from ‘Evolution of gene dosage on the Z-chromosome of schistosome parasites’ by Picard M.A.L., et al (2018).” Institute of Science and Technology Austria, 2018."},"department":[{"_id":"BeVi"}],"title":"Input files and scripts from \"Evolution of gene dosage on the Z-chromosome of schistosome parasites\" by Picard M.A.L., et al (2018)","file_date_updated":"2020-07-14T12:47:08Z","article_processing_charge":"No","author":[{"last_name":"Vicoso","orcid":"0000-0002-4579-8306","full_name":"Vicoso, Beatriz","id":"49E1C5C6-F248-11E8-B48F-1D18A9856A87","first_name":"Beatriz"}],"_id":"5586","keyword":["schistosoma","Z-chromosome","gene expression"],"status":"public","project":[{"_id":"250ED89C-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P28842-B22","name":"Sex chromosome evolution under male- and female- heterogamety"}],"tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"type":"research_data","day":"24","file":[{"file_id":"5601","checksum":"e60b484bd6f55c08eb66a189cb72c923","content_type":"application/zip","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T13:02:35Z","file_name":"IST-2018-109-v1+1_SupplementaryMethods.zip","date_updated":"2020-07-14T12:47:08Z","file_size":11918144,"creator":"system"}],"year":"2018","datarep_id":"109","has_accepted_license":"1","contributor":[{"first_name":"Marion A","id":"2C921A7A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8101-2518","last_name":"Picard"}],"date_created":"2018-12-12T12:31:40Z","date_published":"2018-07-24T00:00:00Z","related_material":{"record":[{"relation":"research_paper","id":"131","status":"public"}]},"doi":"10.15479/AT:ISTA:109","oa_version":"Published Version","abstract":[{"text":"Input files and scripts from \"Evolution of gene dosage on the Z-chromosome of schistosome parasites\" by Picard M.A.L., et al (2018).","lang":"eng"}],"month":"07","oa":1,"publisher":"Institute of Science and Technology Austria"}]