--- _id: '5583' abstract: - lang: eng text: "Data and scripts are provided in support of the manuscript \"Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering\", and the associated Python package FAPS, available from www.github.com/ellisztamas/faps.\r\n\r\nSimulation scripts cover:\r\n1. Performance under different mating scenarios.\r\n2. Comparison with Colony2.\r\n3. Effect of changing the number of Monte Carlo draws\r\n\r\nThe final script covers the analysis of half-sib arrays from wild-pollinated seed in an Antirrhinum majus hybrid zone." article_processing_charge: No author: - first_name: Thomas full_name: Ellis, Thomas id: 3153D6D4-F248-11E8-B48F-1D18A9856A87 last_name: Ellis orcid: 0000-0002-8511-0254 citation: ama: Ellis T. Data and Python scripts supporting Python package FAPS. 2018. doi:10.15479/AT:ISTA:95 apa: Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:95 chicago: Ellis, Thomas. “Data and Python Scripts Supporting Python Package FAPS.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:95. ieee: T. Ellis, “Data and Python scripts supporting Python package FAPS.” Institute of Science and Technology Austria, 2018. ista: Ellis T. 2018. Data and Python scripts supporting Python package FAPS, Institute of Science and Technology Austria, 10.15479/AT:ISTA:95. mla: Ellis, Thomas. Data and Python Scripts Supporting Python Package FAPS. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:95. short: T. Ellis, (2018). contributor: - first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field - first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton datarep_id: '95' date_created: 2018-12-12T12:31:39Z date_published: 2018-02-12T00:00:00Z date_updated: 2024-02-21T13:45:01Z day: '12' department: - _id: NiBa doi: 10.15479/AT:ISTA:95 file: - access_level: open_access checksum: fc6aab51439f2622ba6df8632e66fd4f content_type: text/csv creator: system date_created: 2018-12-12T13:02:41Z date_updated: 2020-07-14T12:47:07Z file_id: '5606' file_name: IST-2018-95-v1+1_amajus_GPS_2012.csv file_size: 122048 relation: main_file - access_level: open_access checksum: 92347586ae4f8a6eb7c04354797bf314 content_type: text/csv creator: system date_created: 2018-12-12T13:02:42Z date_updated: 2020-07-14T12:47:07Z file_id: '5607' file_name: IST-2018-95-v1+2_offspring_SNPs_2012.csv file_size: 235980 relation: main_file - access_level: open_access checksum: 3300813645a54e6c5c39f41917228354 content_type: text/csv creator: system date_created: 2018-12-12T13:02:43Z date_updated: 2020-07-14T12:47:07Z file_id: '5608' file_name: IST-2018-95-v1+3_parents_SNPs_2012.csv file_size: 311712 relation: main_file - access_level: open_access checksum: e739fc473567fd8f39438b445fc46147 content_type: application/zip creator: system date_created: 2018-12-12T13:02:44Z date_updated: 2020-07-14T12:47:07Z file_id: '5609' file_name: IST-2018-95-v1+4_faps_scripts.zip file_size: 342090 relation: main_file file_date_updated: 2020-07-14T12:47:07Z has_accepted_license: '1' license: https://creativecommons.org/publicdomain/zero/1.0/ month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '286' relation: research_paper status: public status: public title: Data and Python scripts supporting Python package FAPS 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 user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '5569' abstract: - lang: eng text: "Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese, Lendert Gelens, and Isabella Moll (2018)\r\n“Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations” Nucleic Acids Research, doi: 10.15479/AT:ISTA:74;\r\nmicroscopy experiments by Tobias Bergmiller; image and data analysis by Nela Nikolic." article_processing_charge: No author: - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 citation: ama: Bergmiller T, Nikolic N. Time-lapse microscopy data. 2018. doi:10.15479/AT:ISTA:74 apa: Bergmiller, T., & Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:74 chicago: Bergmiller, Tobias, and Nela Nikolic. “Time-Lapse Microscopy Data.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:74. ieee: T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science and Technology Austria, 2018. ista: Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science and Technology Austria, 10.15479/AT:ISTA:74. mla: Bergmiller, Tobias, and Nela Nikolic. Time-Lapse Microscopy Data. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:74. short: T. Bergmiller, N. Nikolic, (2018). datarep_id: '74' date_created: 2018-12-12T12:31:35Z date_published: 2018-02-07T00:00:00Z date_updated: 2024-02-21T13:44:45Z day: '07' ddc: - '579' department: - _id: CaGu doi: 10.15479/AT:ISTA:74 file: - access_level: open_access checksum: 61ebb92213cfffeba3ddbaff984b81af content_type: application/zip creator: system date_created: 2018-12-12T13:04:39Z date_updated: 2020-07-14T12:47:04Z file_id: '5637' file_name: IST-2018-74-v1+2_15-11-05.zip file_size: 3558703796 relation: main_file - access_level: open_access checksum: bf26649af310ef6892d68576515cde6d content_type: application/zip creator: system date_created: 2018-12-12T13:04:55Z date_updated: 2020-07-14T12:47:04Z file_id: '5638' file_name: IST-2018-74-v1+3_15-07-31.zip file_size: 1830422606 relation: main_file - access_level: open_access checksum: 8e46eedce06f22acb2be1a9b9d3f56bd content_type: application/zip creator: system date_created: 2018-12-12T13:05:11Z date_updated: 2020-07-14T12:47:04Z file_id: '5639' file_name: IST-2018-74-v1+4_Images_for_analysis.zip file_size: 2140849248 relation: main_file file_date_updated: 2020-07-14T12:47:04Z has_accepted_license: '1' keyword: - microscopy - microfluidics month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria publist_id: '7385' related_material: record: - id: '438' relation: research_paper status: public status: public title: Time-lapse microscopy data 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 user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '161' abstract: - lang: eng text: 'Which properties of metabolic networks can be derived solely from stoichiometry? Predictive results have been obtained by flux balance analysis (FBA), by postulating that cells set metabolic fluxes to maximize growth rate. Here we consider a generalization of FBA to single-cell level using maximum entropy modeling, which we extend and test experimentally. Specifically, we define for Escherichia coli metabolism a flux distribution that yields the experimental growth rate: the model, containing FBA as a limit, provides a better match to measured fluxes and it makes a wide range of predictions: on flux variability, regulation, and correlations; on the relative importance of stoichiometry vs. optimization; on scaling relations for growth rate distributions. We validate the latter here with single-cell data at different sub-inhibitory antibiotic concentrations. The model quantifies growth optimization as emerging from the interplay of competitive dynamics in the population and regulation of metabolism at the level of single cells.' article_number: '2988' article_processing_charge: No author: - first_name: Daniele full_name: De Martino, Daniele id: 3FF5848A-F248-11E8-B48F-1D18A9856A87 last_name: De Martino orcid: 0000-0002-5214-4706 - first_name: Andersson Anna full_name: Mc, Andersson Anna last_name: Mc - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-05417-9 apa: De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkačik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-018-05417-9 chicago: De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet, and Gašper Tkačik. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-05417-9. ieee: D. De Martino, A. A. Mc, T. Bergmiller, C. C. Guet, and G. Tkačik, “Statistical mechanics for metabolic networks during steady state growth,” Nature Communications, vol. 9, no. 1. Springer Nature, 2018. ista: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. 2018. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 9(1), 2988. mla: De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications, vol. 9, no. 1, 2988, Springer Nature, 2018, doi:10.1038/s41467-018-05417-9. short: D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications 9 (2018). date_created: 2018-12-11T11:44:57Z date_published: 2018-07-30T00:00:00Z date_updated: 2024-02-21T13:45:39Z day: '30' ddc: - '570' department: - _id: GaTk - _id: CaGu doi: 10.1038/s41467-018-05417-9 ec_funded: 1 external_id: isi: - '000440149300021' file: - access_level: open_access checksum: 3ba7ab27b27723c7dcf633e8fc1f8f18 content_type: application/pdf creator: dernst date_created: 2018-12-17T16:44:28Z date_updated: 2020-07-14T12:45:06Z file_id: '5728' file_name: 2018_NatureComm_DeMartino.pdf file_size: 1043205 relation: main_file file_date_updated: 2020-07-14T12:45:06Z has_accepted_license: '1' intvolume: ' 9' isi: 1 issue: '1' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '07' oa: 1 oa_version: Published Version project: - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Nature Communications publication_status: published publisher: Springer Nature publist_id: '7760' quality_controlled: '1' related_material: record: - id: '5587' relation: popular_science status: public scopus_import: '1' status: public title: Statistical mechanics for metabolic networks during steady state growth tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 9 year: '2018' ... --- _id: '5587' abstract: - lang: eng text: "Supporting material to the article \r\nSTATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH\r\n\r\nboundscoli.dat\r\nFlux Bounds of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium. \r\n\r\npolcoli.dat\r\nMatrix enconding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium, \r\nobtained from the soichiometric matrix by standard linear algebra (reduced row echelon form).\r\n\r\nellis.dat\r\nApproximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium\r\nobtained with the Lovasz method.\r\n\r\npoint0.dat\r\nCenter of the approximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium\r\nobtained with the Lovasz method.\r\n\r\nlovasz.cpp \r\nThis c++ code file receives in input the polytope of the feasible steady states of a metabolic network, \r\n(matrix and bounds), and it gives in output an approximate Lowner-John ellipsoid rounding the polytope\r\nwith the Lovasz method \r\nNB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. \r\nFor further details we refer to PLoS ONE 10.4 e0122670 (2015).\r\n\r\nsampleHRnew.cpp \r\nThis c++ code file receives in input the polytope of the feasible steady states of a metabolic network, \r\n(matrix and bounds), the ellipsoid rounding the polytope, a point inside and \r\nit gives in output a max entropy sampling at fixed average growth rate \r\nof the steady states by performing an Hit-and-Run Monte Carlo Markov chain.\r\nNB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. \r\nFor further details we refer to PLoS ONE 10.4 e0122670 (2015)." article_processing_charge: No author: - first_name: Daniele full_name: De Martino, Daniele id: 3FF5848A-F248-11E8-B48F-1D18A9856A87 last_name: De Martino orcid: 0000-0002-5214-4706 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: De Martino D, Tkačik G. Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” 2018. doi:10.15479/AT:ISTA:62 apa: De Martino, D., & Tkačik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:62 chicago: De Martino, Daniele, and Gašper Tkačik. “Supporting Materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.’” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:62. ieee: D. De Martino and G. Tkačik, “Supporting materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.’” Institute of Science and Technology Austria, 2018. ista: De Martino D, Tkačik G. 2018. Supporting materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:62. mla: De Martino, Daniele, and Gašper Tkačik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:62. short: D. De Martino, G. Tkačik, (2018). datarep_id: '111' date_created: 2018-12-12T12:31:41Z date_published: 2018-09-21T00:00:00Z date_updated: 2024-02-21T13:45:39Z day: '21' ddc: - '530' department: - _id: GaTk doi: 10.15479/AT:ISTA:62 ec_funded: 1 file: - access_level: open_access checksum: 97992e3e8cf8544ec985a48971708726 content_type: application/zip creator: system date_created: 2018-12-12T13:05:13Z date_updated: 2020-07-14T12:47:08Z file_id: '5641' file_name: IST-2018-111-v1+1_CODES.zip file_size: 14376 relation: main_file file_date_updated: 2020-07-14T12:47:08Z has_accepted_license: '1' keyword: - metabolic networks - e.coli core - maximum entropy - monte carlo markov chain sampling - ellipsoidal rounding month: '09' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation publisher: Institute of Science and Technology Austria related_material: record: - id: '161' relation: research_paper status: public status: public title: Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH" 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 user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '542' abstract: - lang: eng text: The t-haplotype, a mouse meiotic driver found on chromosome 17, has been a model for autosomal segregation distortion for close to a century, but several questions remain regarding its biology and evolutionary history. A recently published set of population genomics resources for wild mice includes several individuals heterozygous for the t-haplotype, which we use to characterize this selfish element at the genomic and transcriptomic level. Our results show that large sections of the t-haplotype have been replaced by standard homologous sequences, possibly due to occasional events of recombination, and that this complicates the inference of its history. As expected for a long genomic segment of very low recombination, the t-haplotype carries an excess of fixed nonsynonymous mutations compared to the standard chromosome. This excess is stronger for regions that have not undergone recent recombination, suggesting that occasional gene flow between the t and the standard chromosome may provide a mechanism to regenerate coding sequences that have accumulated deleterious mutations. Finally, we find that t-complex genes with altered expression largely overlap with deleted or amplified regions, and that carrying a t-haplotype alters the testis expression of genes outside of the t-complex, providing new leads into the pathways involved in the biology of this segregation distorter. article_processing_charge: No article_type: original author: - first_name: Réka K full_name: Kelemen, Réka K id: 48D3F8DE-F248-11E8-B48F-1D18A9856A87 last_name: Kelemen orcid: 0000-0002-8489-9281 - first_name: Beatriz full_name: Vicoso, Beatriz id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87 last_name: Vicoso orcid: 0000-0002-4579-8306 citation: ama: Kelemen RK, Vicoso B. Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. 2018;208(1):365-375. doi:10.1534/genetics.117.300513 apa: Kelemen, R. K., & Vicoso, B. (2018). Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300513 chicago: Kelemen, Réka K, and Beatriz Vicoso. “Complex History and Differentiation Patterns of the T-Haplotype, a Mouse Meiotic Driver.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300513. ieee: R. K. Kelemen and B. Vicoso, “Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver,” Genetics, vol. 208, no. 1. Genetics Society of America, pp. 365–375, 2018. ista: Kelemen RK, Vicoso B. 2018. Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. 208(1), 365–375. mla: Kelemen, Réka K., and Beatriz Vicoso. “Complex History and Differentiation Patterns of the T-Haplotype, a Mouse Meiotic Driver.” Genetics, vol. 208, no. 1, Genetics Society of America, 2018, pp. 365–75, doi:10.1534/genetics.117.300513. short: R.K. Kelemen, B. Vicoso, Genetics 208 (2018) 365–375. date_created: 2018-12-11T11:47:04Z date_published: 2018-01-01T00:00:00Z date_updated: 2024-02-21T13:48:27Z day: '01' ddc: - '576' department: - _id: BeVi doi: 10.1534/genetics.117.300513 ec_funded: 1 external_id: isi: - '000419356300024' file: - access_level: open_access checksum: 2123845e7031a0cf043905be160f9e69 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:14Z date_updated: 2020-07-14T12:46:50Z file_id: '5132' file_name: IST-2018-1058-v1+1_365.full__1_.pdf file_size: 1311661 relation: main_file file_date_updated: 2020-07-14T12:46:50Z has_accepted_license: '1' intvolume: ' 208' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: 365 - 375 project: - _id: 250BDE62-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715257' name: Prevalence and Influence of Sexual Antagonism on Genome Evolution publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7274' pubrep_id: '1058' quality_controlled: '1' related_material: record: - id: '5571' relation: popular_science status: public - id: '5572' relation: popular_science status: public scopus_import: '1' status: public title: Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 208 year: '2018' ...