@article{7297,
  abstract     = {Redox mediators facilitate the oxidation of the highly insulating discharge product in metal–oxygen batteries during recharge and offer opportunities to achieve high reversible capacities. Now a design principle for selecting redox mediators that can recharge the batteries more efficiently is suggested.},
  author       = {Freunberger, Stefan Alexander},
  issn         = {2058-7546},
  journal      = {Nature Energy},
  number       = {6},
  publisher    = {Springer Nature},
  title        = {{Batteries: Charging ahead rationally}},
  doi          = {10.1038/nenergy.2016.74},
  volume       = {1},
  year         = {2016},
}

@article{7599,
  abstract     = {Normal leaf margin development is important for leaf morphogenesis and contributes to diverse leaf shapes in higher plants. We here show the crucial roles of an atypical type II phosphatidylinositol 4-kinase, PI4Kγ5, in Arabidopsis leaf margin development. PI4Kγ5 presents a dynamics expression pattern along with leaf development and a T-DNA mutant lacking PI4Kγ5, pi4kγ5–1, presents serrated leaves, which is resulted from the accelerated cell division and increased auxin concentration at serration tips. Studies revealed that PI4Kγ5 interacts with and phosphorylates a membrane-bound NAC transcription factor, ANAC078. Previous studies demonstrated that membrane-bound transcription factors regulate gene transcription by undergoing proteolytic process to translocate into nucleus, and ANAC078 undergoes proteolysis by cleaving off the transmembrane region and carboxyl terminal. Western blot analysis indeed showed that ANAC078 deleting of carboxyl terminal is significantly reduced in pi4kγ5–1, indicating that PI4Kγ5 is important for the cleavage of ANAC078. This is consistent with the subcellular localization observation showing that fluorescence by GFP-ANAC078 is detected at plasma membrane but not nucleus in pi4kγ5–1 mutant and that expression of ANAC078 deleting of carboxyl terminal, driven by PI4Kγ5 promoter, could rescue the leaf serration defects of pi4kγ5–1. Further analysis showed that ANAC078 suppresses the auxin synthesis by directly binding and regulating the expression of auxin synthesis-related genes. These results indicate that PI4Kγ5 interacts with ANAC078 to negatively regulate auxin synthesis and hence influences cell proliferation and leaf development, providing informative clues for the regulation of in situ auxin synthesis and cell division, as well as the cleavage and functional mechanism of membrane-bound transcription factors.},
  author       = {Tang, Yong and Zhao, Chun-Yan and Tan, Shutang and Xue, Hong-Wei},
  issn         = {1553-7404},
  journal      = {PLOS Genetics},
  number       = {8},
  publisher    = {Public Library of Science},
  title        = {{Arabidopsis type II phosphatidylinositol 4-kinase PI4Kγ5 regulates auxin biosynthesis and leaf margin development through interacting with membrane-bound transcription factor ANAC078}},
  doi          = {10.1371/journal.pgen.1006252},
  volume       = {12},
  year         = {2016},
}

@article{7737,
  abstract     = {Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with human complex traits. However, the genes or functional DNA elements through which these variants exert their effects on the traits are often unknown. We propose a method (called SMR) that integrates summary-level data from GWAS with data from expression quantitative trait locus (eQTL) studies to identify genes whose expression levels are associated with a complex trait because of pleiotropy. We apply the method to five human complex traits using GWAS data on up to 339,224 individuals and eQTL data on 5,311 individuals, and we prioritize 126 genes (for example, TRAF1 and ANKRD55 for rheumatoid arthritis and SNX19 and NMRAL1 for schizophrenia), of which 25 genes are new candidates; 77 genes are not the nearest annotated gene to the top associated GWAS SNP. These genes provide important leads to design future functional studies to understand the mechanism whereby DNA variation leads to complex trait variation.},
  author       = {Zhu, Zhihong and Zhang, Futao and Hu, Han and Bakshi, Andrew and Robinson, Matthew Richard and Powell, Joseph E and Montgomery, Grant W and Goddard, Michael E and Wray, Naomi R and Visscher, Peter M and Yang, Jian},
  issn         = {1061-4036},
  journal      = {Nature Genetics},
  number       = {5},
  pages        = {481--487},
  publisher    = {Springer Nature},
  title        = {{Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets}},
  doi          = {10.1038/ng.3538},
  volume       = {48},
  year         = {2016},
}

@article{460,
  abstract     = {NF-κB signaling is a central pathway of immunity and integrates signal transduction upon a wide array of inflammatory stimuli. Noncanonical NF-κB signaling is activated by a small subset of TNF family receptors and characterized by NF-κB2/p52 transcriptional activity. The medical relevance of this pathway has recently re-emerged from the discovery of primary immunodeficiency patients that have loss-of-function mutations in the MAP3K14 gene encoding NIK. Nevertheless, knowledge of protein interactions that regulate noncanonical NF-κB signaling is sparse. Here we report a detailed state-of-the-art mass spectrometry-based protein–protein interaction network including the noncanonical NF-κB signaling nodes TRAF2, TRAF3, IKKα, NIK, and NF-κB2/p100. The value of the data set was confirmed by the identification of interactions already known to regulate this pathway. In addition, a remarkable number of novel interactors were identified. We provide validation of the novel NIK and IKKα interactor FKBP8, which may regulate processes downstream of noncanonical NF-κB signaling. To understand perturbed noncanonical NF-κB signaling in the context of misregulated NIK in disease, we also provide a differential interactome of NIK mutants that cause immunodeficiency. Altogether, this data set not only provides critical insight into how protein–protein interactions can regulate immune signaling but also offers a novel resource on noncanonical NF-κB signaling.},
  author       = {Willmann, Katharina L and Roberto Sacco and Martins, Rui and Garncarz, Wojciech and Krolo, Ana and Knapp, Sylvia and Bennett, Keiryn L and Boztug, Kaan},
  journal      = {Journal of Proteome Research},
  number       = {9},
  pages        = {2900 -- 2909},
  publisher    = {American Chemical Society},
  title        = {{Expanding the interactome of the noncanonical NF-κB signaling pathway}},
  doi          = {10.1021/acs.jproteome.5b01004},
  volume       = {15},
  year         = {2016},
}

@inproceedings{478,
  abstract     = {Magic: the Gathering is a game about magical combat for any number of players. Formally it is a zero-sum, imperfect information stochastic game that consists of a potentially unbounded number of steps. We consider the problem of deciding if a move is legal in a given single step of Magic. We show that the problem is (a) coNP-complete in general; and (b) in P if either of two small sets of cards are not used. Our lower bound holds even for single-player Magic games. The significant aspects of our results are as follows: First, in most real-life game problems, the task of deciding whether a given move is legal in a single step is trivial, and the computationally hard task is to find the best sequence of legal moves in the presence of multiple players. In contrast, quite uniquely our hardness result holds for single step and with only one-player. Second, we establish efficient algorithms for important special cases of Magic.},
  author       = {Chatterjee, Krishnendu and Ibsen-Jensen, Rasmus},
  location     = {The Hague, Netherlands},
  pages        = {1432 -- 1439},
  publisher    = {IOS Press},
  title        = {{The complexity of deciding legality of a single step of magic: The gathering}},
  doi          = {10.3233/978-1-61499-672-9-1432},
  volume       = {285},
  year         = {2016},
}

@inproceedings{480,
  abstract     = {Graph games provide the foundation for modeling and synthesizing reactive processes. In the synthesis of stochastic reactive processes, the traditional model is perfect-information stochastic games, where some transitions of the game graph are controlled by two adversarial players, and the other transitions are executed probabilistically. We consider such games where the objective is the conjunction of several quantitative objectives (specified as mean-payoff conditions), which we refer to as generalized mean-payoff objectives. The basic decision problem asks for the existence of a finite-memory strategy for a player that ensures the generalized mean-payoff objective be satisfied with a desired probability against all strategies of the opponent. A special case of the decision problem is the almost-sure problem where the desired probability is 1. Previous results presented a semi-decision procedure for -approximations of the almost-sure problem. In this work, we show that both the almost-sure problem as well as the general basic decision problem are coNP-complete, significantly improving the previous results. Moreover, we show that in the case of 1-player stochastic games, randomized memoryless strategies are sufficient and the problem can be solved in polynomial time. In contrast, in two-player stochastic games, we show that even with randomized strategies exponential memory is required in general, and present a matching exponential upper bound. We also study the basic decision problem with infinite-memory strategies and present computational complexity results for the problem. Our results are relevant in the synthesis of stochastic reactive systems with multiple quantitative requirements.},
  author       = {Chatterjee, Krishnendu and Doyen, Laurent},
  location     = {New York, NY, USA},
  pages        = {247 -- 256},
  publisher    = {IEEE},
  title        = {{Perfect-information stochastic games with generalized mean-payoff objectives}},
  doi          = {10.1145/2933575.2934513},
  volume       = {05-08-July-2016},
  year         = {2016},
}

@article{510,
  abstract     = {The CLE (CLAVATA3/Embryo Surrounding Region-related) peptides are small secreted signaling peptides that are primarily involved in the regulation of stem cell homeostasis in different plant meristems. Particularly, the characterization of the CLE41-PXY/TDR signaling pathway has greatly advanced our understanding on the potential roles of CLE peptides in vascular development and wood formation. Nevertheless, our knowledge on this gene family in a tree species is limited. In a recent study, we reported on a systematically investigation of the CLE gene family in Populus trichocarpa . The potential roles of PtCLE genes were studied by comparative analysis and transcriptional pro fi ling. Among fi fty PtCLE members, many PtCLE proteins share identical CLE motifs or contain the same CLE motif as that of AtCLEs, while PtCLE genes exhibited either comparable or distinct expression patterns comparing to their Arabidopsis counterparts. These fi ndings indicate the existence of both functional conservation and functional divergence between PtCLEs and their AtCLE orthologues. Our results provide valuable resources for future functional investigations of these critical signaling molecules in woody plants. },
  author       = {Liu, Zhijun and Yang, Nan and Lv, Yanting and Pan, Lixia and Lv, Shuo and Han, Huibin and Wang, Guodong},
  journal      = {Plant Signaling & Behavior},
  number       = {6},
  publisher    = {Taylor & Francis},
  title        = {{The CLE gene family in Populus trichocarpa}},
  doi          = {10.1080/15592324.2016.1191734},
  volume       = {11},
  year         = {2016},
}

@misc{5445,
  abstract     = {We consider the quantitative analysis problem for interprocedural control-flow graphs (ICFGs). The input consists of an ICFG, a positive weight function that assigns every transition a positive integer-valued number, and a labelling of the transitions (events) as good, bad, and neutral events. The weight function assigns to each transition a numerical value that represents ameasure of how good or bad an event is. The quantitative analysis problem asks whether there is a run of the ICFG where the ratio of the sum of the numerical weights of good events versus the sum of weights of bad events in the long-run is at least a given threshold (or equivalently, to compute the maximal ratio among all valid paths in the ICFG). The quantitative analysis problem for ICFGs can be solved in polynomial time, and we present an efficient and practical algorithm for the problem. We show that several problems relevant for static program analysis, such as estimating the worst-case execution time of a program or the average energy consumption of a mobile application, can be modeled in our framework. We have implemented our algorithm as a tool in the Java Soot framework. We demonstrate the effectiveness of our approach with two case studies. First, we show that our framework provides a sound approach (no false positives) for the analysis of inefficiently-used containers. Second, we show that our approach can also be used for static profiling of programs which reasons about methods that are frequently invoked. Our experimental results show that our tool scales to relatively large benchmarks, and discovers relevant and useful information that can be used to optimize performance of the programs. },
  author       = {Chatterjee, Krishnendu and Pavlogiannis, Andreas and Velner, Yaron},
  issn         = {2664-1690},
  pages        = {33},
  publisher    = {IST Austria},
  title        = {{Quantitative interprocedural analysis}},
  doi          = {10.15479/AT:IST-2016-523-v1-1},
  year         = {2016},
}

@misc{5446,
  abstract     = {We study the problem of developing efficient approaches for proving termination of recursive programs with one-dimensional arrays. Ranking functions serve as a sound and complete approach for proving termination of non-recursive programs without array operations. First, we generalize ranking functions to the notion of measure functions, and prove that measure functions (i) provide a sound method to prove termination of recursive programs (with one-dimensional arrays), and (ii) is both sound and complete over recursive programs without array operations. Our second contribution is the synthesis of measure functions of specific forms in polynomial time. More precisely, we prove that (i) polynomial measure functions over recursive programs can be synthesized in polynomial time through Farkas’ Lemma and Handelman’s Theorem, and (ii) measure functions involving logarithm and exponentiation can be synthesized in polynomial time through abstraction of logarithmic or exponential terms and Handelman’s Theorem. A key application of our method is the worst-case analysis of recursive programs. While previous methods obtain worst-case polynomial bounds of the form O(n^k), where k is an integer, our polynomial time methods can synthesize bounds of the form O(n log n), as well as O(n^x), where x is not an integer. We show the applicability of our automated technique to obtain worst-case complexity of classical recursive algorithms such as (i) Merge-Sort, the divideand-
conquer algorithm for the Closest-Pair problem, where we obtain O(n log n) worst-case bound, and (ii) Karatsuba’s algorithm for polynomial multiplication and Strassen’s algorithm for matrix multiplication, where we obtain O(n^x) bound, where x is not an integer and close to the best-known bounds for the respective algorithms. Finally, we present experimental results to demonstrate the
effectiveness of our approach.},
  author       = {Anonymous, 1 and Anonymous, 2 and Anonymous, 3},
  issn         = {2664-1690},
  pages        = {26},
  publisher    = {IST Austria},
  title        = {{Termination and worst-case analysis of recursive programs}},
  year         = {2016},
}

@misc{5447,
  abstract     = {We consider the problem of developing automated techniques to aid the average-case complexity analysis of programs. Several classical textbook algorithms have quite efficient average-case complexity, whereas the corresponding worst-case bounds are either inefficient (e.g., QUICK-SORT), or completely ineffective (e.g., COUPONCOLLECTOR). Since the main focus of average-case analysis is to obtain efficient bounds, we consider bounds that are either logarithmic,
linear, or almost-linear (O(log n), O(n), O(n · log n),
respectively, where n represents the size of the input). Our main contribution is a sound approach for deriving such average-case bounds for randomized recursive programs. Our approach is efficient (a simple linear-time algorithm), and it is based on (a) the analysis of recurrence relations induced by randomized algorithms, and (b) a guess-and-check technique. Our approach can infer the asymptotically optimal average-case bounds for classical randomized algorithms, including RANDOMIZED-SEARCH, QUICKSORT, QUICK-SELECT, COUPON-COLLECTOR, where the worstcase
bounds are either inefficient (such as linear as compared to logarithmic of average-case, or quadratic as compared to linear or almost-linear of average-case), or ineffective. We have implemented our approach, and the experimental results show that we obtain the bounds efficiently for various classical algorithms.},
  author       = {Anonymous, 1 and Anonymous, 2 and Anonymous, 3},
  issn         = {2664-1690},
  pages        = {20},
  publisher    = {IST Austria},
  title        = {{Average-case analysis of programs: Automated recurrence analysis for almost-linear bounds}},
  year         = {2016},
}

@misc{5448,
  abstract     = {We present a new dynamic partial-order reduction method for stateless model checking of concurrent programs. A common approach for exploring program behaviors relies on enumerating the traces of the program, without storing the visited states (aka stateless exploration). As the number of distinct traces grows exponentially, dynamic partial-order reduction (DPOR) techniques have been successfully used to partition the space of traces into equivalence classes (Mazurkiewicz partitioning), with the goal of exploring only few representative traces from each class.
We introduce a new equivalence on traces under sequential consistency semantics, which we call the observation equivalence. Two traces are observationally equivalent if every read event observes the same write event in both traces. While the traditional Mazurkiewicz equivalence is control-centric, our new definition is data-centric. We show that our observation equivalence is coarser than the Mazurkiewicz equivalence, and in many cases even exponentially coarser. We devise a DPOR exploration of the trace space, called data-centric DPOR, based on the observation equivalence.
1. For acyclic architectures, our algorithm is guaranteed to explore exactly one representative trace from each observation class, while spending polynomial time per class. Hence, our algorithm is optimal wrt the observation equivalence, and in several cases explores exponentially fewer traces than any enumerative method based on the Mazurkiewicz equivalence.
2. For cyclic architectures, we consider an equivalence between traces which is finer than the observation equivalence; but coarser than the Mazurkiewicz equivalence, and in some cases is exponentially coarser. Our data-centric DPOR algorithm remains optimal under this trace equivalence. 
Finally, we perform a basic experimental comparison between the existing Mazurkiewicz-based DPOR and our data-centric DPOR on a set of academic benchmarks. Our results show a significant reduction in both running time and the number of explored equivalence classes.},
  author       = {Anonymous, 1 and Anonymous, 2 and Anonymous, 3 and Anonymous, 4},
  issn         = {2664-1690},
  pages        = {20},
  publisher    = {IST Austria},
  title        = {{Data-centric dynamic partial order reduction}},
  year         = {2016},
}

@misc{5449,
  abstract     = {The fixation probability is the probability that a new mutant introduced in a homogeneous population eventually takes over the entire population.
The fixation probability is a fundamental quantity of natural selection, and known to depend on the population structure.
Amplifiers of natural selection are population structures which increase the fixation probability of advantageous mutants, as compared to the baseline case of well-mixed populations. In this work we focus on symmetric population structures represented as undirected graphs. In the regime of undirected graphs, the strongest amplifier known has been the Star graph, and the existence of undirected graphs with stronger amplification properties has remained open for over a decade.
In this work we present the Comet and Comet-swarm families of undirected graphs. We show that for a range of fitness values of the mutants, the Comet and Comet-swarm graphs have fixation probability strictly larger than the fixation probability of the Star graph, for fixed population size and at the limit of large populations, respectively.},
  author       = {Pavlogiannis, Andreas and Tkadlec, Josef and Chatterjee, Krishnendu and Nowak, Martin},
  issn         = {2664-1690},
  pages        = {22},
  publisher    = {IST Austria},
  title        = {{Amplification on undirected population structures: Comets beat stars}},
  doi          = {10.15479/AT:IST-2016-648-v1-1},
  year         = {2016},
}

@misc{5451,
  author       = {Pavlogiannis, Andreas and Tkadlec, Josef and Chatterjee, Krishnendu and Nowak, Martin},
  issn         = {2664-1690},
  pages        = {34},
  publisher    = {IST Austria},
  title        = {{Strong amplifiers of natural selection}},
  doi          = {10.15479/AT:IST-2016-728-v1-1},
  year         = {2016},
}

@misc{5452,
  author       = {Pavlogiannis, Andreas and Tkadlec, Josef and Chatterjee, Krishnendu and Nowak, Martin},
  issn         = {2664-1690},
  pages        = {32},
  publisher    = {IST Austria},
  title        = {{Arbitrarily strong amplifiers of natural selection}},
  doi          = {10.15479/AT:IST-2017-728-v2-1},
  year         = {2016},
}

@misc{5453,
  author       = {Pavlogiannis, Andreas and Tkadlec, Josef and Chatterjee, Krishnendu and Nowak, Martin},
  issn         = {2664-1690},
  pages        = {34},
  publisher    = {IST Austria},
  title        = {{Arbitrarily strong amplifiers of natural selection}},
  doi          = {10.15479/AT:IST-2017-749-v3-1},
  year         = {2016},
}

@misc{5550,
  abstract     = {We collected flower colour information on species in the tribe Antirrhineae from taxonomic literature. We also retreived molecular data from GenBank for as many of these species as possible to estimate phylogenetic relationships among these taxa. We then used the R package 'diversitree' to examine patterns of evolutionary transitions between anthocyanin and yellow pigmentation across the phylogeny.

For full details of the methods see:
Ellis TJ and Field DL "Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae”, Annals of Botany (in press)},
  author       = {Ellis, Thomas and Field, David},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Flower colour data and phylogeny (NEXUS) files}},
  doi          = {10.15479/AT:ISTA:34},
  year         = {2016},
}

@misc{5551,
  abstract     = {Data from array experiments investigating pollinator behaviour on snapdragons in controlled conditions, and their effect on plant mating. Data were collected as part of Tom Ellis' PhD thesis , submitted February 2016.

We placed a total of 36 plants in a grid inside a closed organza tent, with a single hive of commercially bred bumblebees (Bombus hortorum). We used only the yellow-flowered Antirrhinum majus striatum and the magenta-flowered Antirrhinum majus pseudomajus, at ratios of 6:36, 12:24, 18:18, 24:12 and 30:6.

After 24 hours to learn how to deal with snapdragons, I observed pollinators foraging on plants, and recorded the transitions between plants. Thereafter seeds on plants were allowed to develops. A sample of these were grown to maturity when their flower colour could be determined, and they were scored as yellow, magenta, or hybrid.},
  author       = {Ellis, Thomas},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Data on pollinator observations and offpsring phenotypes}},
  doi          = {10.15479/AT:ISTA:35},
  year         = {2016},
}

@misc{5552,
  abstract     = {Data on pollinator visitation to wild snapdragons in a natural hybrid zone, collected as part of Tom Ellis' PhD thesis (submitted February 2016).

Snapdragon flowers have a mouth-like structure which pollinators must open to access nectar. We placed 5mm cellophane tags in these mouths, which are held in place by the pressure of the flower until a pollinator visits. When she opens the flower, the tag drops out, and one can infer a visit. We surveyed plants over multiple days in 2010, 2011 and 2012.

Also included are data on phenotypic and demographic variables which may be explanatory variables for pollinator visitation.},
  author       = {Ellis, Thomas},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data.}},
  doi          = {10.15479/AT:ISTA:36},
  year         = {2016},
}

@misc{5553,
  abstract     = {Genotypic, phenotypic and demographic data for 2128 wild snapdragons and 1127 open-pollinated progeny from a natural hybrid zone, collected as part of Tom Ellis' PhD thesis (submitted) February 2016).

Tissue samples were sent to LGC Genomics in Berlin for DNA extraction, and genotyping at 70 SNP markers by KASPR genotyping. 29 of these SNPs failed to amplify reliably, and have been removed from this dataset.

Other data were retreived from an online database of this population at www.antspec.org.},
  author       = {Field, David and Ellis, Thomas},
  keywords     = {paternity assignment, pedigree, matting patterns, assortative mating, Antirrhinum majus, frequency-dependent selection, plant-pollinator interaction},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012}},
  doi          = {10.15479/AT:ISTA:37},
  year         = {2016},
}

@misc{5554,
  abstract     = {The data stored here is used in Murat Tugrul's PhD thesis (Chapter 3), which is related to the evolution of bacterial RNA polymerase binding.
Magdalena Steinrueck (PhD Student in Calin Guet's group at IST Austria) performed the experiments and created the data on de novo promoter evolution. Fabienne Jesse (PhD Student in Jon Bollback's group at IST Austria) performed the experiments and created the data on lac promoter evolution.},
  author       = {Tugrul, Murat},
  keywords     = {RNAP binding, de novo promoter evolution, lac promoter},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase}},
  doi          = {10.15479/AT:ISTA:43},
  year         = {2016},
}

