@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}, }