@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{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{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{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{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{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{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{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{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{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{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{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{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},
}

@inbook{562,
  abstract     = {Primary neuronal cell culture preparations are widely used to investigate synaptic functions. This chapter describes a detailed protocol for the preparation of a neuronal cell culture in which giant calyx-type synaptic terminals are formed. This chapter also presents detailed protocols for utilizing the main technical advantages provided by such a preparation, namely, labeling and imaging of synaptic organelles and electrophysiological recordings directly from presynaptic terminals.},
  author       = {Dimitrov, Dimitar and Guillaud, Laurent and Eguchi, Kohgaku and Takahashi, Tomoyuki},
  booktitle    = {Neurotrophic Factors},
  editor       = {Skaper, Stephen D.},
  pages        = {201 -- 215},
  publisher    = {Springer},
  title        = {{Culture of mouse giant central nervous system synapses and application for imaging and electrophysiological analyses}},
  doi          = {10.1007/978-1-4939-7571-6_15},
  volume       = {1727},
  year         = {2018},
}

@article{563,
  abstract     = {In continuous populations with local migration, nearby pairs of individuals have on average more similar genotypes
than geographically well separated pairs. A barrier to gene flow distorts this classical pattern of isolation by distance. Genetic similarity is decreased for sample pairs on different sides of the barrier and increased for pairs on the same side near the barrier. Here, we introduce an inference scheme that utilizes this signal to detect and estimate the strength of a linear barrier to gene flow in two-dimensions. We use a diffusion approximation to model the effects of a barrier on the geographical spread of ancestry backwards in time. This approach allows us to calculate the chance of recent coalescence and probability of identity by descent. We introduce an inference scheme that fits these theoretical results to the geographical covariance structure of bialleleic genetic markers. It can estimate the strength of the barrier as well as several demographic parameters. We investigate the power of our inference scheme to detect barriers by applying it to a wide range of simulated data. We also showcase an example application to a Antirrhinum majus (snapdragon) flower color hybrid zone, where we do not detect any signal of a strong genome wide barrier to gene flow.},
  author       = {Ringbauer, Harald and Kolesnikov, Alexander and Field, David and Barton, Nicholas H},
  journal      = {Genetics},
  number       = {3},
  pages        = {1231--1245},
  publisher    = {Genetics Society of America},
  title        = {{Estimating barriers to gene flow from distorted isolation-by-distance patterns}},
  doi          = {10.1534/genetics.117.300638},
  volume       = {208},
  year         = {2018},
}

@article{564,
  abstract     = {Maladapted individuals can only colonise a new habitat if they can evolve a
positive growth rate fast enough to avoid extinction, a process known as evolutionary
rescue. We treat log fitness at low density in the new habitat as a
single polygenic trait and thus use the infinitesimal model to follow the evolution
of the growth rate; this assumes that the trait values of offspring of a
sexual union are normally distributed around the mean of the parents’ trait
values, with variance that depends only on the parents’ relatedness. The
probability that a single migrant can establish depends on just two parameters:
the mean and genetic variance of the trait in the source population.
The chance of success becomes small if migrants come from a population
with mean growth rate in the new habitat more than a few standard deviations
below zero; this chance depends roughly equally on the probability
that the initial founder is unusually fit, and on the subsequent increase in
growth rate of its offspring as a result of selection. The loss of genetic variation
during the founding event is substantial, but highly variable. With
continued migration at rate M, establishment is inevitable; when migration
is rare, the expected time to establishment decreases inversely with M.
However, above a threshold migration rate, the population may be trapped
in a ‘sink’ state, in which adaptation is held back by gene flow; above this
threshold, the expected time to establishment increases exponentially with M. This threshold behaviour is captured by a deterministic approximation,
which assumes a Gaussian distribution of the trait in the founder population
with mean and variance evolving deterministically. By assuming a constant
genetic variance, we also develop a diffusion approximation for the joint distribution
of population size and trait mean, which extends to include stabilising
selection and density regulation. Divergence of the population from its
ancestors causes partial reproductive isolation, which we measure through
the reproductive value of migrants into the newly established population.},
  author       = {Barton, Nicholas H and Etheridge, Alison},
  journal      = {Theoretical Population Biology},
  number       = {7},
  pages        = {110--127},
  publisher    = {Academic Press},
  title        = {{Establishment in a new habitat by polygenic adaptation}},
  doi          = {10.1016/j.tpb.2017.11.007},
  volume       = {122},
  year         = {2018},
}

@article{565,
  abstract     = {We re-examine the model of Kirkpatrick and Barton for the spread of an inversion into a local population. This model assumes that local selection maintains alleles at two or more loci, despite immigration of alternative alleles at these loci from another population. We show that an inversion is favored because it prevents the breakdown of linkage disequilibrium generated by migration; the selective advantage of an inversion is proportional to the amount of recombination between the loci involved, as in other cases where inversions are selected for. We derive expressions for the rate of spread of an inversion; when the loci covered by the inversion are tightly linked, these conditions deviate substantially from those proposed previously, and imply that an inversion can then have only a small advantage. },
  author       = {Charlesworth, Brian and Barton, Nicholas H},
  journal      = {Genetics},
  number       = {1},
  pages        = {377 -- 382},
  publisher    = {Genetics },
  title        = {{The spread of an inversion with migration and selection}},
  doi          = {10.1534/genetics.117.300426},
  volume       = {208},
  year         = {2018},
}

@article{566,
  abstract     = {We consider large random matrices X with centered, independent entries which have comparable but not necessarily identical variances. Girko's circular law asserts that the spectrum is supported in a disk and in case of identical variances, the limiting density is uniform. In this special case, the local circular law by Bourgade et. al. [11,12] shows that the empirical density converges even locally on scales slightly above the typical eigenvalue spacing. In the general case, the limiting density is typically inhomogeneous and it is obtained via solving a system of deterministic equations. Our main result is the local inhomogeneous circular law in the bulk spectrum on the optimal scale for a general variance profile of the entries of X. 

},
  author       = {Alt, Johannes and Erdös, László and Krüger, Torben H},
  journal      = {Annals Applied Probability },
  number       = {1},
  pages        = {148--203},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{Local inhomogeneous circular law}},
  doi          = {10.1214/17-AAP1302},
  volume       = {28},
  year         = {2018},
}

@article{5672,
  abstract     = {The release of IgM is the first line of an antibody response and precedes the generation of high affinity IgG in germinal centers. Once secreted by freshly activated plasmablasts, IgM is released into the efferent lymph of reactive lymph nodes as early as 3 d after immunization. As pentameric IgM has an enormous size of 1,000 kD, its diffusibility is low, and one might wonder how it can pass through the densely lymphocyte-packed environment of a lymph node parenchyma in order to reach its exit. In this issue of JEM, Thierry et al. show that, in order to reach the blood stream, IgM molecules take a specific micro-anatomical route via lymph node conduits.},
  author       = {Reversat, Anne and Sixt, Michael K},
  issn         = {00221007},
  journal      = {Journal of Experimental Medicine},
  number       = {12},
  pages        = {2959--2961},
  publisher    = {Rockefeller University Press},
  title        = {{IgM's exit route}},
  doi          = {10.1084/jem.20181934},
  volume       = {215},
  year         = {2018},
}

