@misc{11653, abstract = {Eurasian brine shrimp (genus Artemia) have closely related sexual and asexual lineages of parthenogenetic females, which produce rare males at low frequencies. Although they are known to have ZW chromosomes, these are not well characterized, and it is unclear whether they are shared across the clade. Furthermore, the underlying genetic architecture of the transmission of asexuality, which can occur when rare males mate with closely related sexual females, is not well understood. We produced a chromosome-level assembly for the sexual Eurasian species A. sinica and characterized in detail the pair of sex chromosomes of this species. We combined this new assembly with short-read genomic data for the sexual species A. sp. Kazakhstan and several asexual lineages of A. parthenogenetica, allowing us to perform an in-depth characterization of sex-chromosome evolution across the genus. We identified a small differentiated region of the ZW pair that is shared by all sexual and asexual lineages, supporting the shared ancestry of the sex chromosomes. We also inferred that recombination suppression has spread to larger sections of the chromosome independently in the American and Eurasian lineages. Finally, we took advantage of a rare male, which we backcrossed to sexual females, to explore the genetic basis of asexuality. Our results suggest that parthenogenesis is likely partly controlled by a locus on the Z chromosome, highlighting the interplay between sex determination and asexuality.}, author = {Elkrewi, Marwan N}, publisher = {Institute of Science and Technology Austria}, title = {{Data from Elkrewi, Khauratovich, Toups et al. 2022, "ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp"}}, doi = {10.15479/AT:ISTA:11653}, year = {2022}, } @misc{9291, abstract = {This .zip File contains the transport data for figures presented in the main text and supplementary material of "Enhancement of Proximity Induced Superconductivity in Planar Germanium" by K. Aggarwal, et. al. The measurements were done using Labber Software and the data is stored in the hdf5 file format. The files can be opened using either the Labber Log Browser (https://labber.org/overview/) or Labber Python API (http://labber.org/online-doc/api/LogFile.html).}, author = {Katsaros, Georgios}, publisher = {Institute of Science and Technology Austria}, title = {{Raw transport data for: Enhancement of proximity induced superconductivity in planar germanium}}, doi = {10.15479/AT:ISTA:9291}, year = {2021}, } @misc{9636, author = {Higginbotham, Andrew P}, publisher = {Institute of Science and Technology Austria}, title = {{Data for "Breakdown of induced p ± ip pairing in a superconductor-semiconductor hybrid"}}, year = {2021}, } @misc{9323, abstract = {This .zip File contains the data for figures presented in the main text and supplementary material of "A singlet triplet hole spin qubit in planar Ge" by D. Jirovec, et. al. The measurements were done using Labber Software and the data is stored in the hdf5 file format. The files can be opened using either the Labber Log Browser (https://labber.org/overview/) or Labber Python API (http://labber.org/online-doc/api/LogFile.html). A single file is acquired with QCodes and features the corresponding data type. XRD data are in .dat format and a code to open the data is provided. The code for simulations is as well provided in Python.}, author = {Jirovec, Daniel}, publisher = {Institute of Science and Technology Austria}, title = {{Research data for "A singlet-triplet hole spin qubit planar Ge"}}, doi = {10.15479/AT:ISTA:9323}, year = {2021}, } @misc{9389, abstract = {This .zip File contains the transport data for "Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states" by M. Valentini, et. al. The measurements were done using Labber Software and the data is stored in the hdf5 file format. Instructions of how to read the data are in "Notebook_Valentini.pdf".}, author = {Valentini, Marco}, publisher = {Institute of Science and Technology Austria}, title = {{Research data for "Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states"}}, doi = {10.15479/AT:ISTA:9389}, year = {2021}, } @misc{9192, abstract = {Here are the research data underlying the publication " Effects of fine-scale population structure on inbreeding in a long-term study of snapdragons (Antirrhinum majus)." Further information are summed up in the README document.}, author = {Surendranadh, Parvathy and Arathoon, Louise S and Baskett, Carina and Field, David and Pickup, Melinda and Barton, Nicholas H}, publisher = {Institute of Science and Technology Austria}, title = {{Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus}}, doi = {10.15479/AT:ISTA:9192}, year = {2021}, } @misc{9949, author = {Vicoso, Beatriz}, publisher = {Institute of Science and Technology Austria}, title = {{Data from Hyulmans et al 2021, "Transitions to asexuality and evolution of gene expression in Artemia brine shrimp"}}, doi = {10.15479/AT:ISTA:9949}, year = {2021}, } @misc{8834, abstract = {This data collection contains the transport data for figures presented in the supplementary material of "Enhancement of Proximity Induced Superconductivity in Planar Germanium" by K. Aggarwal, et. al. The measurements were done using Labber Software and the data is stored in the hdf5 file format. The files can be opened using either the Labber Log Browser (https://labber.org/overview/) or Labber Python API (http://labber.org/online-doc/api/LogFile.html). }, author = {Katsaros, Georgios}, publisher = {Institute of Science and Technology Austria}, title = {{Enhancement of proximity induced superconductivity in planar Germanium}}, doi = {10.15479/AT:ISTA:8834}, year = {2020}, } @misc{8097, abstract = {Antibiotics that interfere with translation, when combined, interact in diverse and difficult-to-predict ways. Here, we explain these interactions by "translation bottlenecks": points in the translation cycle where antibiotics block ribosomal progression. To elucidate the underlying mechanisms of drug interactions between translation inhibitors, we generate translation bottlenecks genetically using inducible control of translation factors that regulate well-defined translation cycle steps. These perturbations accurately mimic antibiotic action and drug interactions, supporting that the interplay of different translation bottlenecks causes these interactions. We further show that growth laws, combined with drug uptake and binding kinetics, enable the direct prediction of a large fraction of observed interactions, yet fail to predict suppression. However, varying two translation bottlenecks simultaneously supports that dense traffic of ribosomes and competition for translation factors account for the previously unexplained suppression. These results highlight the importance of "continuous epistasis" in bacterial physiology.}, author = {Kavcic, Bor}, keywords = {Escherichia coli, antibiotic combinations, translation, growth laws, drug interactions, bacterial physiology, translation inhibitors}, publisher = {Institute of Science and Technology Austria}, title = {{Analysis scripts and research data for the paper "Mechanisms of drug interactions between translation-inhibiting antibiotics"}}, doi = {10.15479/AT:ISTA:8097}, year = {2020}, } @misc{8254, abstract = {Here are the research data underlying the publication "Estimating inbreeding and its effects in a long-term study of snapdragons (Antirrhinum majus)". Further information are summed up in the README document. The files for this record have been updated and are now found in the linked DOI https://doi.org/10.15479/AT:ISTA:9192.}, author = {Arathoon, Louise S}, publisher = {Institute of Science and Technology Austria}, title = {{Estimating inbreeding and its effects in a long-term study of snapdragons (Antirrhinum majus)}}, doi = {10.15479/AT:ISTA:8254}, year = {2020}, } @misc{8930, abstract = {Phenomenological relations such as Ohm’s or Fourier’s law have a venerable history in physics but are still scarce in biology. This situation restrains predictive theory. Here, we build on bacterial “growth laws,” which capture physiological feedback between translation and cell growth, to construct a minimal biophysical model for the combined action of ribosome-targeting antibiotics. Our model predicts drug interactions like antagonism or synergy solely from responses to individual drugs. We provide analytical results for limiting cases, which agree well with numerical results. We systematically refine the model by including direct physical interactions of different antibiotics on the ribosome. In a limiting case, our model provides a mechanistic underpinning for recent predictions of higher-order interactions that were derived using entropy maximization. We further refine the model to include the effects of antibiotics that mimic starvation and the presence of resistance genes. We describe the impact of a starvation-mimicking antibiotic on drug interactions analytically and verify it experimentally. Our extended model suggests a change in the type of drug interaction that depends on the strength of resistance, which challenges established rescaling paradigms. We experimentally show that the presence of unregulated resistance genes can lead to altered drug interaction, which agrees with the prediction of the model. While minimal, the model is readily adaptable and opens the door to predicting interactions of second and higher-order in a broad range of biological systems.}, author = {Kavcic, Bor}, keywords = {Escherichia coli, antibiotic combinations, translation, growth laws, drug interactions, bacterial physiology, translation inhibitors}, publisher = {Institute of Science and Technology Austria}, title = {{Analysis scripts and research data for the paper "Minimal biophysical model of combined antibiotic action"}}, doi = {10.15479/AT:ISTA:8930}, year = {2020}, } @misc{8951, abstract = {Gene expression levels are influenced by multiple coexisting molecular mechanisms. Some of these interactions, such as those of transcription factors and promoters have been studied extensively. However, predicting phenotypes of gene regulatory networks remains a major challenge. Here, we use a well-defined synthetic gene regulatory network to study how network phenotypes depend on local genetic context, i.e. the genetic neighborhood of a transcription factor and its relative position. We show that one gene regulatory network with fixed topology can display not only quantitatively but also qualitatively different phenotypes, depending solely on the local genetic context of its components. Our results demonstrate that changes in local genetic context can place a single transcriptional unit within two separate regulons without the need for complex regulatory sequences. We propose that relative order of individual transcriptional units, with its potential for combinatorial complexity, plays an important role in shaping phenotypes of gene regulatory networks.}, author = {Nagy-Staron, Anna A}, keywords = {Gene regulatory networks, Gene expression, Escherichia coli, Synthetic Biology}, publisher = {Institute of Science and Technology Austria}, title = {{Sequences of gene regulatory network permutations for the article "Local genetic context shapes the function of a gene regulatory network"}}, doi = {10.15479/AT:ISTA:8951}, year = {2020}, } @misc{7383, abstract = {Organisms cope with change by employing transcriptional regulators. However, when faced with rare environments, the evolution of transcriptional regulators and their promoters may be too slow. We ask whether the intrinsic instability of gene duplication and amplification provides a generic alternative to canonical gene regulation. By real-time monitoring of gene copy number mutations in E. coli, we show that gene duplications and amplifications enable adaptation to fluctuating environments by rapidly generating copy number, and hence expression level, polymorphism. This ‘amplification-mediated gene expression tuning’ occurs on timescales similar to canonical gene regulation and can deal with rapid environmental changes. Mathematical modeling shows that amplifications also tune gene expression in stochastic environments where transcription factor-based schemes are hard to evolve or maintain. The fleeting nature of gene amplifications gives rise to a generic population-level mechanism that relies on genetic heterogeneity to rapidly tune expression of any gene, without leaving any genomic signature.}, author = {Grah, Rok}, keywords = {Matlab scripts, analysis of microfluidics, mathematical model}, publisher = {Institute of Science and Technology Austria}, title = {{Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation}}, doi = {10.15479/AT:ISTA:7383}, year = {2020}, } @misc{9222, author = {Katsaros, Georgios}, publisher = {Institute of Science and Technology Austria}, title = {{Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling}}, doi = {10.15479/AT:ISTA:9222}, year = {2020}, } @misc{8375, abstract = {Supplementary movies showing the following sequences for spatio-temporarily programmed shells: input geometry and actuation time landscape; comparison of morphing processes from a camera recording and a simulation; final actuated shape.}, author = {Guseinov, Ruslan}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for "Computational design of curved thin shells: from glass façades to programmable matter"}}, doi = {10.15479/AT:ISTA:8375}, year = {2020}, } @misc{7689, abstract = {These are the supplementary research data to the publication "Zero field splitting of heavy-hole states in quantum dots". All matrix files have the same format. Within each column the bias voltage is changed. Each column corresponds to either a different gate voltage or magnetic field. The voltage values are given in mV, the current values in pA. Find a specific description in the included Readme file. }, author = {Katsaros, Georgios}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for "Zero field splitting of heavy-hole states in quantum dots"}}, doi = {10.15479/AT:ISTA:7689}, year = {2020}, } @misc{8761, author = {Guseinov, Ruslan}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for "Computational design of cold bent glass façades"}}, doi = {10.15479/AT:ISTA:8761}, year = {2020}, } @misc{8563, abstract = {Supplementary data provided for the provided for the publication: Igor Gridchyn , Philipp Schoenenberger , Joseph O'Neill , Jozsef Csicsvari (2020) Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior. Elife.}, author = {Csicsvari, Jozsef L and Gridchyn, Igor and Schönenberger, Philipp}, publisher = {Institute of Science and Technology Austria}, title = {{Optogenetic alteration of hippocampal network activity}}, doi = {10.15479/AT:ISTA:8563}, year = {2020}, } @misc{14592, abstract = {Cryo-electron microscopy (cryo-EM) of cellular specimens provides insights into biological processes and structures within a native context. However, a major challenge still lies in the efficient and reproducible preparation of adherent cells for subsequent cryo-EM analysis. This is due to the sensitivity of many cellular specimens to the varying seeding and culturing conditions required for EM experiments, the often limited amount of cellular material and also the fragility of EM grids and their substrate. Here, we present low-cost and reusable 3D printed grid holders, designed to improve specimen preparation when culturing challenging cellular samples directly on grids. The described grid holders increase cell culture reproducibility and throughput, and reduce the resources required for cell culturing. We show that grid holders can be integrated into various cryo-EM workflows, including micro-patterning approaches to control cell seeding on grids, and for generating samples for cryo-focused ion beam milling and cryo-electron tomography experiments. Their adaptable design allows for the generation of specialized grid holders customized to a large variety of applications.}, author = {Schur, Florian KM}, publisher = {Institute of Science and Technology Austria}, title = {{STL-files for 3D-printed grid holders described in Fäßler F, Zens B, et al.; 3D printed cell culture grid holders for improved cellular specimen preparation in cryo-electron microscopy}}, doi = {10.15479/AT:ISTA:14592}, year = {2020}, } @misc{7016, abstract = {Organisms cope with change by employing transcriptional regulators. However, when faced with rare environments, the evolution of transcriptional regulators and their promoters may be too slow. We ask whether the intrinsic instability of gene duplication and amplification provides a generic alternative to canonical gene regulation. By real-time monitoring of gene copy number mutations in E. coli, we show that gene duplications and amplifications enable adaptation to fluctuating environments by rapidly generating copy number, and hence expression level, polymorphism. This ‘amplification-mediated gene expression tuning’ occurs on timescales similar to canonical gene regulation and can deal with rapid environmental changes. Mathematical modeling shows that amplifications also tune gene expression in stochastic environments where transcription factor-based schemes are hard to evolve or maintain. The fleeting nature of gene amplifications gives rise to a generic population-level mechanism that relies on genetic heterogeneity to rapidly tune expression of any gene, without leaving any genomic signature.}, author = {Tomanek, Isabella}, keywords = {Escherichia coli, gene amplification, galactose, DOG, experimental evolution, Illumina sequence data, FACS data, microfluidics data}, publisher = {Institute of Science and Technology Austria}, title = {{Data for the paper "Gene amplification as a form of population-level gene expression regulation"}}, doi = {10.15479/AT:ISTA:7016}, year = {2019}, } @misc{7154, author = {Guseinov, Ruslan}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for "Programming temporal morphing of self-actuated shells"}}, doi = {10.15479/AT:ISTA:7154}, year = {2019}, } @misc{6060, author = {Vicoso, Beatriz}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for "Sex-biased gene expression and dosage compensation on the Artemia franciscana Z-chromosome" (Huylman, Toups et al., 2019). }}, doi = {10.15479/AT:ISTA:6060}, year = {2019}, } @misc{6074, abstract = {This dataset contains the supplementary data for the research paper "Haploinsufficiency of the intellectual disability gene SETD5 disturbs developmental gene expression and cognition". The contained files have the following content: 'Supplementary Figures.pdf' Additional figures (as referenced in the paper). 'Supplementary Table 1. Statistics.xlsx' Details on statistical tests performed in the paper. 'Supplementary Table 2. Differentially expressed gene analysis.xlsx' Results for the differential gene expression analysis for embryonic (E9.5; analysis with edgeR) and in vitro (ESCs, EBs, NPCs; analysis with DESeq2) samples. 'Supplementary Table 3. Gene Ontology (GO) term enrichment analysis.xlsx' Results for the GO term enrichment analysis for differentially expressed genes in embryonic (GO E9.5) and in vitro (GO ESC, GO EBs, GO NPCs) samples. Differentially expressed genes for in vitro samples were split into upregulated and downregulated genes (up/down) and the analysis was performed on each subset (e.g. GO ESC up / GO ESC down). 'Supplementary Table 4. Differentially expressed gene analysis for CFC samples.xlsx' Results for the differential gene expression analysis for samples from adult mice before (HC - Homecage) and 1h and 3h after contextual fear conditioning (1h and 3h, respectively). Each sheet shows the results for a different comparison. Sheets 1-3 show results for comparisons between timepoints for wild type (WT) samples only and sheets 4-6 for the same comparisons in mutant (Het) samples. Sheets 7-9 show results for comparisons between genotypes at each time point and sheet 10 contains the results for the analysis of differential expression trajectories between wild type and mutant. 'Supplementary Table 5. Cluster identification.xlsx' Results for k-means clustering of genes by expression. Sheet 1 shows clustering of just the genes with significantly different expression trajectories between genotypes. Sheet 2 shows clustering of all genes that are significantly differentially expressed in any of the comparisons (includes also genes with same trajectories). 'Supplementary Table 6. GO term cluster analysis.xlsx' Results for the GO term enrichment analysis and EWCE analysis for enrichment of cell type specific genes for each cluster identified by clustering genes with different expression trajectories (see Table S5, sheet 1). 'Supplementary Table 7. Setd5 mass spectrometry results.xlsx' Results showing proteins interacting with Setd5 as identified by mass spectrometry. Sheet 1 shows protein protein interaction data generated from these results (combined with data from the STRING database. Sheet 2 shows the results of the statistical analysis with limma. 'Supplementary Table 8. PolII ChIP-seq analysis.xlsx' Results for the Chip-Seq analysis for binding of RNA polymerase II (PolII). Sheet 1 shows results for differential binding of PolII at the transcription start site (TSS) between genotypes and sheets 2+3 show the corresponding GO enrichment analysis for these differentially bound genes. Sheet 4 shows RNAseq counts for genes with increased binding of PolII at the TSS.}, author = {Dotter, Christoph and Novarino, Gaia}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary data for the research paper "Haploinsufficiency of the intellectual disability gene SETD5 disturbs developmental gene expression and cognition"}}, doi = {10.15479/AT:ISTA:6074}, year = {2019}, } @misc{6062, abstract = {Open the files in Jupyter Notebook (reccomended https://www.anaconda.com/distribution/#download-section with Python 3.7).}, author = {Nardin, Michele}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary Code and Data for the paper "The Entorhinal Cognitive Map is Attracted to Goals"}}, doi = {10.15479/AT:ISTA:6062}, year = {2019}, } @misc{5573, abstract = {Graph matching problems for large displacement optical flow of RGB-D images.}, author = {Alhaija, Hassan and Sellent, Anita and Kondermann, Daniel and Rother, Carsten}, keywords = {graph matching, quadratic assignment problem<}, publisher = {Institute of Science and Technology Austria}, title = {{Graph matching problems for GraphFlow – 6D Large Displacement Scene Flow}}, doi = {10.15479/AT:ISTA:82}, year = {2018}, } @misc{5577, abstract = {Data on Austrian open access publication output at Emerald from 2013-2017 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Emerald Austrian Publications 2013-2017}}, doi = {10.15479/AT:ISTA:89}, year = {2018}, } @misc{5578, abstract = {Data on Austrian open access publication output at IOP from 2012-2015 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{IOP Austrian Publications 2012-2015}}, doi = {10.15479/AT:ISTA:90}, year = {2018}, } @misc{5574, abstract = {Comparison of Scopus' and publisher's data on Austrian publication output at IOP. }, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Data Check IOP Scopus vs. Publisher}}, doi = {10.15479/AT:ISTA:86}, year = {2018}, } @misc{5588, abstract = {Script to perform a simple exponential lifetime fit of a ROI on time stacks acquired with a FLIM X16 TCSPC detector (+example data)}, author = {Hauschild, Robert}, keywords = {FLIM, FRET, fluorescence lifetime imaging}, publisher = {Institute of Science and Technology Austria}, title = {{Fluorescence lifetime analysis of FLIM X16 TCSPC data}}, doi = {10.15479/AT:ISTA:0113}, year = {2018}, } @misc{5582, abstract = {Data on Austrian open access publication output at Taylor&Francis from 2013-2017 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Taylor&Francis Austrian Publications 2013-2017}}, doi = {10.15479/AT:ISTA:94}, year = {2018}, } @misc{5581, abstract = {Data on Austrian open access publication output at Springer from 2013-2016 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Springer Austrian Publications 2013-2016}}, doi = {10.15479/AT:ISTA:93}, year = {2018}, } @misc{5580, abstract = {Data on Austrian open access publication output at SAGE from 2013-2017 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{SAGE Austrian Publications 2013-2017}}, doi = {10.15479/AT:ISTA:92}, year = {2018}, } @misc{5579, abstract = {Data on Austrian open access publication output at RSC from 2013-2017 including data analysis.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{RSC Austrian Publications 2013-2017}}, doi = {10.15479/AT:ISTA:91}, year = {2018}, } @misc{5576, abstract = {Comparison of Scopus' and FWF's data on Austrian publication output at T&F.}, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Data Check T&F Scopus vs. FWF}}, doi = {10.15479/AT:ISTA:88}, year = {2018}, } @misc{5575, abstract = {Comparison of Scopus' and FWF's data on Austrian publication output at RSC. }, author = {Villányi, Márton}, keywords = {Publication analysis, Bibliography, Open Access}, publisher = {Institute of Science and Technology Austria}, title = {{Data Check RSC Scopus vs. FWF}}, doi = {10.15479/AT:ISTA:87}, year = {2018}, } @misc{5584, abstract = {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). The data consists of (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. (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. (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. }, author = {Deny, Stephane and Marre, Olivier and Botella-Soler, Vicente and Martius, Georg S and Tkacik, Gasper}, keywords = {retina, decoding, regression, neural networks, complex stimulus}, publisher = {Institute of Science and Technology Austria}, title = {{Nonlinear decoding of a complex movie from the mammalian retina}}, doi = {10.15479/AT:ISTA:98}, year = {2018}, } @misc{5586, abstract = {Input files and scripts from "Evolution of gene dosage on the Z-chromosome of schistosome parasites" by Picard M.A.L., et al (2018).}, author = {Vicoso, Beatriz}, keywords = {schistosoma, Z-chromosome, gene expression}, publisher = {Institute of Science and Technology Austria}, 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)}}, doi = {10.15479/AT:ISTA:109}, year = {2018}, } @misc{5583, abstract = {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. Simulation scripts cover: 1. Performance under different mating scenarios. 2. Comparison with Colony2. 3. Effect of changing the number of Monte Carlo draws The final script covers the analysis of half-sib arrays from wild-pollinated seed in an Antirrhinum majus hybrid zone.}, author = {Ellis, Thomas}, publisher = {Institute of Science and Technology Austria}, title = {{Data and Python scripts supporting Python package FAPS}}, doi = {10.15479/AT:ISTA:95}, year = {2018}, } @misc{5569, abstract = {Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese, Lendert Gelens, and Isabella Moll (2018) “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations” Nucleic Acids Research, doi: 10.15479/AT:ISTA:74; microscopy experiments by Tobias Bergmiller; image and data analysis by Nela Nikolic.}, author = {Bergmiller, Tobias and Nikolic, Nela}, keywords = {microscopy, microfluidics}, publisher = {Institute of Science and Technology Austria}, title = {{Time-lapse microscopy data}}, doi = {10.15479/AT:ISTA:74}, year = {2018}, } @misc{5587, abstract = {Supporting material to the article STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH boundscoli.dat Flux Bounds of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium. polcoli.dat Matrix enconding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium, obtained from the soichiometric matrix by standard linear algebra (reduced row echelon form). ellis.dat Approximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium obtained with the Lovasz method. point0.dat Center of the approximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium obtained with the Lovasz method. lovasz.cpp This c++ code file receives in input the polytope of the feasible steady states of a metabolic network, (matrix and bounds), and it gives in output an approximate Lowner-John ellipsoid rounding the polytope with the Lovasz method NB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. For further details we refer to PLoS ONE 10.4 e0122670 (2015). sampleHRnew.cpp This c++ code file receives in input the polytope of the feasible steady states of a metabolic network, (matrix and bounds), the ellipsoid rounding the polytope, a point inside and it gives in output a max entropy sampling at fixed average growth rate of the steady states by performing an Hit-and-Run Monte Carlo Markov chain. NB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. For further details we refer to PLoS ONE 10.4 e0122670 (2015).}, author = {De Martino, Daniele and Tkacik, Gasper}, keywords = {metabolic networks, e.coli core, maximum entropy, monte carlo markov chain sampling, ellipsoidal rounding}, publisher = {Institute of Science and Technology Austria}, title = {{Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"}}, doi = {10.15479/AT:ISTA:62}, year = {2018}, } @misc{5757, abstract = {File S1. Variant Calling Format file of the ingroup: 197 haploid sequences of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference genome. File S2. Variant Calling Format file of the outgroup: 1 haploid sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome. File S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants were included. File S4. Annotations of each transcript in non-coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS; ⍺ MK . All variants were included. File S5. Annotations of each transcript in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (# of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total # of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous evolutionary rate); Sn_d (total # of non- synonymous sites in the divergence data); DoS; ⍺ MK . All variants were included. File S6. Gene expression values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized across all samples. File S7. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for coding sites, excluding variants below 5% frequency. File S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites, excluding variants below 5% frequency. File S9. Final dataset with all covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with the Eyre-Walker and Keightley method on binned data and using all variants.}, author = {Fraisse, Christelle}, keywords = {(mal)adaptation, pleiotropy, selective constraint, evo-devo, gene expression, Drosophila melanogaster}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary Files for "Pleiotropy modulates the efficacy of selection in Drosophila melanogaster"}}, doi = {10.15479/at:ista:/5757}, year = {2018}, } @misc{5585, abstract = {Mean repression values and standard error of the mean are given for all operator mutant libraries.}, author = {Igler, Claudia and Lagator, Mato and Tkacik, Gasper and Bollback, Jonathan P and Guet, Calin C}, publisher = {Institute of Science and Technology Austria}, title = {{Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring}}, doi = {10.15479/AT:ISTA:108}, year = {2018}, } @misc{5562, abstract = {This data was collected as part of the study [1]. It consists of preprocessed multi-electrode array recording from 160 salamander retinal ganglion cells responding to 297 repeats of a 19 s natural movie. The data is available in two formats: (1) a .mat file containing an array with dimensions “number of repeats” x “number of neurons” x “time in a repeat”; (2) a zipped .txt file containing the same data represented as an array with dimensions “number of neurons” x “number of samples”, where the number of samples is equal to the product of the number of repeats and timebins within a repeat. The time dimension is divided into 20 ms time windows, and the array is binary indicating whether a given cell elicited at least one spike in a given time window during a particular repeat. See the reference below for details regarding collection and preprocessing: [1] Tkačik G, Marre O, Amodei D, Schneidman E, Bialek W, Berry MJ II. Searching for Collective Behavior in a Large Network of Sensory Neurons. PLoS Comput Biol. 2014;10(1):e1003408.}, author = {Marre, Olivier and Tkacik, Gasper and Amodei, Dario and Schneidman, Elad and Bialek, William and Berry, Michael}, keywords = {multi-electrode recording, retinal ganglion cells}, publisher = {Institute of Science and Technology Austria}, title = {{Multi-electrode array recording from salamander retinal ganglion cells}}, doi = {10.15479/AT:ISTA:61}, year = {2017}, } @misc{5561, abstract = {Graph matching problems as described in "Active Graph Matching for Automatic Joint Segmentation and Annotation of C. Elegans." by Kainmueller, Dagmar and Jug, Florian and Rother, Carsten and Myers, Gene, MICCAI 2014. Problems are in OpenGM2 hdf5 format (see http://hciweb2.iwr.uni-heidelberg.de/opengm/) and a custom text format used by the feature matching solver described in "Feature Correspondence via Graph Matching: Models and Global Optimization." by Lorenzo Torresani, Vladimir Kolmogorov and Carsten Rother, ECCV 2008, code at http://pub.ist.ac.at/~vnk/software/GraphMatching-v1.02.src.zip. }, author = {Kainmueller, Dagmar and Jug, Florian and Rother, Carsten and Meyers, Gene}, keywords = {graph matching, feature matching, QAP, MAP-inference}, publisher = {Institute of Science and Technology Austria}, title = {{Graph matching problems for annotating C. Elegans}}, doi = {10.15479/AT:ISTA:57}, year = {2017}, } @misc{5563, abstract = {MATLAB code and processed datasets available for reproducing the results in: Lukačišin, M.*, Landon, M.*, Jajoo, R*. (2016) Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast. *equal contributions}, author = {Lukacisin, Martin}, publisher = {Institute of Science and Technology Austria}, title = {{MATLAB analysis code for 'Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast'}}, doi = {10.15479/AT:ISTA:64}, year = {2017}, } @misc{5564, abstract = {Compressed Fastq files with whole-genome sequencing data of IS-wt strain D and clones from four evolved populations (A11, C08, C10, D08). Information on this data collection is available in the Methods Section of the primary publication.}, author = {Steinrück, Magdalena and Guet, Calin C}, publisher = {Institute of Science and Technology Austria}, title = {{Fastq files for "Complex chromosomal neighborhood effects determine the adaptive potential of a gene under selection"}}, doi = {10.15479/AT:ISTA:65}, year = {2017}, } @misc{5568, abstract = {Includes source codes, test cases, and example data used in the thesis Brittle Fracture Simulation with Boundary Elements for Computer Graphics. Also includes pre-built binaries of the HyENA library, but not sources - please contact the HyENA authors to obtain these sources if required (https://mech.tugraz.at/hyena)}, author = {Hahn, David}, keywords = {Boundary elements, brittle fracture, computer graphics, fracture simulation}, publisher = {Institute of Science and Technology Austria}, title = {{Source codes: Brittle fracture simulation with boundary elements for computer graphics}}, doi = {10.15479/AT:ISTA:73}, year = {2017}, } @misc{7163, abstract = {The de novo genome assemblies generated for this study, and the associated metadata.}, author = {Fraisse, Christelle}, publisher = {Institute of Science and Technology Austria}, title = {{Supplementary Files for "The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W"}}, doi = {10.15479/AT:ISTA:7163}, year = {2017}, } @misc{5570, abstract = {Matlab script to calculate the forward migration indexes (/) from TrackMate spot-statistics files.}, author = {Hauschild, Robert}, keywords = {Cell migration, tracking, forward migration index, FMI}, publisher = {Institute of Science and Technology Austria}, title = {{Forward migration indexes}}, doi = {10.15479/AT:ISTA:75}, year = {2017}, } @misc{5567, abstract = {Immunological synapse DC-Tcells}, author = {Leithner, Alexander F}, keywords = {Immunological synapse}, publisher = {Institute of Science and Technology Austria}, title = {{Immunological synapse DC-Tcells}}, doi = {10.15479/AT:ISTA:71}, year = {2017}, }