@misc{13067,
  abstract     = {Genetic incompatibilities contribute to reproductive isolation between many diverging populations, but it is still unclear to what extent they play a role if divergence happens with gene flow. In contact zones between the "Crab" and "Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong barriers to gene flow, while the role of postzygotic barriers due to selection against hybrids remains unclear. High embryo abortion rates in this species could indicate the presence of such barriers. Postzygotic barriers might include genetic incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation, both expected to be most pronounced in contact zones. In addition, embryo abortion might reflect physiological stress on females and embryos independent of any genetic stress. We examined all embryos of &gt;500 females sampled outside and inside contact zones of three populations in Sweden. Females' clutch size ranged from 0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean 12%). We described female genotypes by using a hybrid index based on hundreds of SNPs differentiated between ecotypes with which we characterised female genotypes. We also calculated female SNP heterozygosity and inversion karyotype. Clutch size did not vary with female hybrid index and abortion rates were only weakly related to hybrid index in two sites but not at all in a third site. No additional variation in abortion rate was explained by female SNP heterozygosity, but increased female inversion heterozygosity added slightly to increased abortion. Our results show only weak and probably biologically insignificant postzygotic barriers contributing to ecotype divergence and the high and variable abortion rates were marginally, if at all, explained by hybrid index of females.},
  author       = {Johannesson, Kerstin and Zagrodzka, Zuzanna and Faria, Rui and Westram, Anja M and Butlin, Roger},
  publisher    = {Dryad},
  title        = {{Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?}},
  doi          = {10.5061/DRYAD.TB2RBNZWK},
  year         = {2019},
}

@article{138,
  abstract     = {Autoregulation is the direct modulation of gene expression by the product of the corresponding gene. Autoregulation of bacterial gene expression has been mostly studied at the transcriptional level, when a protein acts as the cognate transcriptional repressor. A recent study investigating dynamics of the bacterial toxin–antitoxin MazEF system has shown how autoregulation at both the transcriptional and post-transcriptional levels affects the heterogeneity of Escherichia coli populations. Toxin–antitoxin systems hold a crucial but still elusive part in bacterial response to stress. This perspective highlights how these modules can also serve as a great model system for investigating basic concepts in gene regulation. However, as the genomic background and environmental conditions substantially influence toxin activation, it is important to study (auto)regulation of toxin–antitoxin systems in well-defined setups as well as in conditions that resemble the environmental niche.},
  author       = {Nikolic, Nela},
  journal      = {Current Genetics},
  number       = {1},
  pages        = {133--138},
  publisher    = {Springer},
  title        = {{Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system}},
  doi          = {10.1007/s00294-018-0879-8},
  volume       = {65},
  year         = {2019},
}

@inproceedings{14184,
  abstract     = {Learning disentangled representations is considered a cornerstone problem in
representation learning. Recently, Locatello et al. (2019) demonstrated that
unsupervised disentanglement learning without inductive biases is theoretically
impossible and that existing inductive biases and unsupervised methods do not
allow to consistently learn disentangled representations. However, in many
practical settings, one might have access to a limited amount of supervision,
for example through manual labeling of (some) factors of variation in a few
training examples. In this paper, we investigate the impact of such supervision
on state-of-the-art disentanglement methods and perform a large scale study,
training over 52000 models under well-defined and reproducible experimental
conditions. We observe that a small number of labeled examples (0.01--0.5\% of
the data set), with potentially imprecise and incomplete labels, is sufficient
to perform model selection on state-of-the-art unsupervised models. Further, we
investigate the benefit of incorporating supervision into the training process.
Overall, we empirically validate that with little and imprecise supervision it
is possible to reliably learn disentangled representations.},
  author       = {Locatello, Francesco and Tschannen, Michael and Bauer, Stefan and Rätsch, Gunnar and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {8th International Conference on Learning Representations},
  location     = {Virtual},
  title        = {{Disentangling factors of variation using few labels}},
  year         = {2019},
}

@inproceedings{14189,
  abstract     = {We consider the problem of recovering a common latent source with independent
components from multiple views. This applies to settings in which a variable is
measured with multiple experimental modalities, and where the goal is to
synthesize the disparate measurements into a single unified representation. We
consider the case that the observed views are a nonlinear mixing of
component-wise corruptions of the sources. When the views are considered
separately, this reduces to nonlinear Independent Component Analysis (ICA) for
which it is provably impossible to undo the mixing. We present novel
identifiability proofs that this is possible when the multiple views are
considered jointly, showing that the mixing can theoretically be undone using
function approximators such as deep neural networks. In contrast to known
identifiability results for nonlinear ICA, we prove that independent latent
sources with arbitrary mixing can be recovered as long as multiple,
sufficiently different noisy views are available.},
  author       = {Gresele, Luigi and Rubenstein, Paul K. and Mehrjou, Arash and Locatello, Francesco and Schölkopf, Bernhard},
  booktitle    = {Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence},
  location     = {Tel Aviv, Israel},
  pages        = {217--227},
  publisher    = {ML Research Press},
  title        = {{The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA}},
  volume       = {115},
  year         = {2019},
}

@inproceedings{14190,
  abstract     = {Learning meaningful and compact representations with disentangled semantic
aspects is considered to be of key importance in representation learning. Since
real-world data is notoriously costly to collect, many recent state-of-the-art
disentanglement models have heavily relied on synthetic toy data-sets. In this
paper, we propose a novel data-set which consists of over one million images of
physical 3D objects with seven factors of variation, such as object color,
shape, size and position. In order to be able to control all the factors of
variation precisely, we built an experimental platform where the objects are
being moved by a robotic arm. In addition, we provide two more datasets which
consist of simulations of the experimental setup. These datasets provide for
the first time the possibility to systematically investigate how well different
disentanglement methods perform on real data in comparison to simulation, and
how simulated data can be leveraged to build better representations of the real
world. We provide a first experimental study of these questions and our results
indicate that learned models transfer poorly, but that model and hyperparameter
selection is an effective means of transferring information to the real world.},
  author       = {Gondal, Muhammad Waleed and Wüthrich, Manuel and Miladinović, Đorđe and Locatello, Francesco and Breidt, Martin and Volchkov, Valentin and Akpo, Joel and Bachem, Olivier and Schölkopf, Bernhard and Bauer, Stefan},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  title        = {{On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14191,
  abstract     = {A broad class of convex optimization problems can be formulated as a semidefinite program (SDP), minimization of a convex function over the positive-semidefinite cone subject to some affine constraints. The majority of classical SDP solvers are designed for the deterministic setting where problem data is readily available. In this setting, generalized conditional gradient methods (aka Frank-Wolfe-type methods) provide scalable solutions by leveraging the so-called linear minimization oracle instead of the projection onto the semidefinite cone. Most problems in machine learning and modern engineering applications, however, contain some degree of stochasticity. In this work, we propose the first conditional-gradient-type method for solving stochastic optimization problems under affine constraints. Our method guarantees O(k−1/3) convergence rate in expectation on the objective residual and O(k−5/12) on the feasibility gap.},
  author       = {Locatello, Francesco and Yurtsever, Alp and Fercoq, Olivier and Cevher, Volkan},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  pages        = {14291–14301},
  title        = {{Stochastic Frank-Wolfe for composite convex minimization}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14193,
  abstract     = {A disentangled representation encodes information about the salient factors
of variation in the data independently. Although it is often argued that this
representational format is useful in learning to solve many real-world
down-stream tasks, there is little empirical evidence that supports this claim.
In this paper, we conduct a large-scale study that investigates whether
disentangled representations are more suitable for abstract reasoning tasks.
Using two new tasks similar to Raven's Progressive Matrices, we evaluate the
usefulness of the representations learned by 360 state-of-the-art unsupervised
disentanglement models. Based on these representations, we train 3600 abstract
reasoning models and observe that disentangled representations do in fact lead
to better down-stream performance. In particular, they enable quicker learning
using fewer samples.},
  author       = {Steenkiste, Sjoerd van and Locatello, Francesco and Schmidhuber, Jürgen and Bachem, Olivier},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  title        = {{Are disentangled representations helpful for abstract visual reasoning?}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14197,
  abstract     = {Recently there has been a significant interest in learning disentangled
representations, as they promise increased interpretability, generalization to
unseen scenarios and faster learning on downstream tasks. In this paper, we
investigate the usefulness of different notions of disentanglement for
improving the fairness of downstream prediction tasks based on representations.
We consider the setting where the goal is to predict a target variable based on
the learned representation of high-dimensional observations (such as images)
that depend on both the target variable and an \emph{unobserved} sensitive
variable. We show that in this setting both the optimal and empirical
predictions can be unfair, even if the target variable and the sensitive
variable are independent. Analyzing the representations of more than
\num{12600} trained state-of-the-art disentangled models, we observe that
several disentanglement scores are consistently correlated with increased
fairness, suggesting that disentanglement may be a useful property to encourage
fairness when sensitive variables are not observed.},
  author       = {Locatello, Francesco and Abbati, Gabriele and Rainforth, Tom and Bauer, Stefan and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  pages        = {14611–14624},
  title        = {{On the fairness of disentangled representations}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14200,
  abstract     = {The key idea behind the unsupervised learning of disentangled representations
is that real-world data is generated by a few explanatory factors of variation
which can be recovered by unsupervised learning algorithms. In this paper, we
provide a sober look at recent progress in the field and challenge some common
assumptions. We first theoretically show that the unsupervised learning of
disentangled representations is fundamentally impossible without inductive
biases on both the models and the data. Then, we train more than 12000 models
covering most prominent methods and evaluation metrics in a reproducible
large-scale experimental study on seven different data sets. We observe that
while the different methods successfully enforce properties ``encouraged'' by
the corresponding losses, well-disentangled models seemingly cannot be
identified without supervision. Furthermore, increased disentanglement does not
seem to lead to a decreased sample complexity of learning for downstream tasks.
Our results suggest that future work on disentanglement learning should be
explicit about the role of inductive biases and (implicit) supervision,
investigate concrete benefits of enforcing disentanglement of the learned
representations, and consider a reproducible experimental setup covering
several data sets.},
  author       = {Locatello, Francesco and Bauer, Stefan and Lucic, Mario and Rätsch, Gunnar and Gelly, Sylvain and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {Proceedings of the 36th International Conference on Machine Learning},
  location     = {Long Beach, CA, United States},
  pages        = {4114--4124},
  publisher    = {ML Research Press},
  title        = {{Challenging common assumptions in the unsupervised learning of disentangled representations}},
  volume       = {97},
  year         = {2019},
}

@inproceedings{9261,
  abstract     = {Bending-active structures are able to efficiently produce complex curved shapes starting from flat panels. The desired deformation of the panels derives from the proper selection of their elastic properties. Optimized panels, called FlexMaps, are designed such that, once they are bent and assembled, the resulting static equilibrium configuration matches a desired input 3D shape. The FlexMaps elastic properties are controlled by locally varying spiraling geometric mesostructures, which are optimized in size and shape to match the global curvature (i.e., bending requests) of the target shape. The design pipeline starts from a quad mesh representing the input 3D shape, which defines the edge size and the total amount of spirals: every quad will embed one spiral. Then, an optimization algorithm tunes the geometry of the spirals by using a simplified pre-computed rod model. This rod model is derived from a non-linear regression algorithm which approximates the non-linear behavior of solid FEM spiral models subject to hundreds of load combinations. This innovative pipeline has been applied to the project of a lightweight plywood pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted arc that fits a bounding box of 3.90x3.96x3.25 meters.},
  author       = {Laccone, Francesco and Malomo, Luigi and Perez Rodriguez, Jesus and Pietroni, Nico and Ponchio, Federico and Bickel, Bernd and Cignoni, Paolo},
  booktitle    = {IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE},
  isbn         = {9788412110104},
  issn         = {2518-6582},
  location     = {Barcelona, Spain},
  pages        = {509--515},
  publisher    = {International Center for Numerical Methods in Engineering},
  title        = {{FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels}},
  year         = {2019},
}

@article{9460,
  abstract     = {Epigenetic reprogramming is required for proper regulation of gene expression in eukaryotic organisms. In Arabidopsis, active DNA demethylation is crucial for seed viability, pollen function, and successful reproduction. The DEMETER (DME) DNA glycosylase initiates localized DNA demethylation in vegetative and central cells, so-called companion cells that are adjacent to sperm and egg gametes, respectively. In rice, the central cell genome displays local DNA hypomethylation, suggesting that active DNA demethylation also occurs in rice; however, the enzyme responsible for this process is unknown. One candidate is the rice REPRESSOR OF SILENCING 1a (ROS1a) gene, which is related to DME and is essential for rice seed viability and pollen function. Here, we report genome-wide analyses of DNA methylation in wild-type and ros1a mutant sperm and vegetative cells. We find that the rice vegetative cell genome is locally hypomethylated compared with sperm by a process that requires ROS1a activity. We show that many ROS1a target sequences in the vegetative cell are hypomethylated in the rice central cell, suggesting that ROS1a also demethylates the central cell genome. Similar to Arabidopsis, we show that sperm non-CG methylation is indirectly promoted by DNA demethylation in the vegetative cell. These results reveal that DNA glycosylase-mediated DNA demethylation processes are conserved in Arabidopsis and rice, plant species that diverged 150 million years ago. Finally, although global non-CG methylation levels of sperm and egg differ, the maternal and paternal embryo genomes show similar non-CG methylation levels, suggesting that rice gamete genomes undergo dynamic DNA methylation reprogramming after cell fusion.},
  author       = {Kim, M. Yvonne and Ono, Akemi and Scholten, Stefan and Kinoshita, Tetsu and Zilberman, Daniel and Okamoto, Takashi and Fischer, Robert L.},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences},
  keywords     = {Multidisciplinary},
  number       = {19},
  pages        = {9652--9657},
  publisher    = {National Academy of Sciences},
  title        = {{DNA demethylation by ROS1a in rice vegetative cells promotes methylation in sperm}},
  doi          = {10.1073/pnas.1821435116},
  volume       = {116},
  year         = {2019},
}

@article{9530,
  abstract     = {Background
DNA methylation of active genes, also known as gene body methylation, is found in many animal and plant genomes. Despite this, the transcriptional and developmental role of such methylation remains poorly understood. Here, we explore the dynamic range of DNA methylation in honey bee, a model organism for gene body methylation.

Results
Our data show that CG methylation in gene bodies globally fluctuates during honey bee development. However, these changes cause no gene expression alterations. Intriguingly, despite the global alterations, tissue-specific CG methylation patterns of complete genes or exons are rare, implying robust maintenance of genic methylation during development. Additionally, we show that CG methylation maintenance fluctuates in somatic cells, while reaching maximum fidelity in sperm cells. Finally, unlike universally present CG methylation, we discovered non-CG methylation specifically in bee heads that resembles such methylation in mammalian brain tissue.

Conclusions
Based on these results, we propose that gene body CG methylation can oscillate during development if it is kept to a level adequate to preserve function. Additionally, our data suggest that heightened non-CG methylation is a conserved regulator of animal nervous systems.},
  author       = {Harris, Keith D. and Lloyd, James P. B. and Domb, Katherine and Zilberman, Daniel and Zemach, Assaf},
  issn         = {1756-8935},
  journal      = {Epigenetics and Chromatin},
  publisher    = {Springer Nature},
  title        = {{DNA methylation is maintained with high fidelity in the honey bee germline and exhibits global non-functional fluctuations during somatic development}},
  doi          = {10.1186/s13072-019-0307-4},
  volume       = {12},
  year         = {2019},
}

@unpublished{10065,
  abstract     = {We study double quantum dots in a Ge/SiGe heterostructure and test their maturity towards singlet-triplet ($S-T_0$) qubits. We demonstrate a large range of tunability, from two single quantum dots to a double quantum dot. We measure Pauli spin blockade and study the anisotropy of the $g$-factor. We use an adjacent quantum dot for sensing charge transitions in the double quantum dot at interest. In conclusion, Ge/SiGe possesses all ingredients necessary for building a singlet-triplet qubit.},
  author       = {Hofmann, Andrea C and Jirovec, Daniel and Borovkov, Maxim and Prieto Gonzalez, Ivan and Ballabio, Andrea and Frigerio, Jacopo and Chrastina, Daniel and Isella, Giovanni and Katsaros, Georgios},
  booktitle    = {arXiv},
  title        = {{Assessing the potential of Ge/SiGe quantum dots as hosts for singlet-triplet qubits}},
  doi          = {10.48550/arXiv.1910.05841},
  year         = {2019},
}

@inproceedings{10190,
  abstract     = {The verification of concurrent programs remains an open challenge, as thread interaction has to be accounted for, which leads to state-space explosion. Stateless model checking battles this problem by exploring traces rather than states of the program. As there are exponentially many traces, dynamic partial-order reduction (DPOR) techniques are used to partition the trace space into equivalence classes, and explore a few representatives from each class. The standard equivalence that underlies most DPOR techniques is the happens-before equivalence, however recent works have spawned a vivid interest towards coarser equivalences. The efficiency of such approaches is a product of two parameters: (i) the size of the partitioning induced by the equivalence, and (ii) the time spent by the exploration algorithm in each class of the partitioning. In this work, we present a new equivalence, called value-happens-before and show that it has two appealing features. First, value-happens-before is always at least as coarse as the happens-before equivalence, and can be even exponentially coarser. Second, the value-happens-before partitioning is efficiently explorable when the number of threads is bounded. We present an algorithm called value-centric DPOR (VCDPOR), which explores the underlying partitioning using polynomial time per class. Finally, we perform an experimental evaluation of VCDPOR on various benchmarks, and compare it against other state-of-the-art approaches. Our results show that value-happens-before typically induces a significant reduction in the size of the underlying partitioning, which leads to a considerable reduction in the running time for exploring the whole partitioning.},
  author       = {Chatterjee, Krishnendu and Pavlogiannis, Andreas and Toman, Viktor},
  booktitle    = {Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications},
  issn         = {2475-1421},
  keywords     = {safety, risk, reliability and quality, software},
  location     = {Athens, Greece},
  publisher    = {ACM},
  title        = {{Value-centric dynamic partial order reduction}},
  doi          = {10.1145/3360550},
  volume       = {3},
  year         = {2019},
}

@article{105,
  abstract     = {Clinical Utility Gene Card. 1. Name of Disease (Synonyms): Pontocerebellar hypoplasia type 9 (PCH9) and spastic paraplegia-63 (SPG63). 2. OMIM# of the Disease: 615809 and 615686. 3. Name of the Analysed Genes or DNA/Chromosome Segments: AMPD2 at 1p13.3. 4. OMIM# of the Gene(s): 102771.},
  author       = {Marsh, Ashley and Novarino, Gaia and Lockhart, Paul and Leventer, Richard},
  journal      = {European Journal of Human Genetics},
  pages        = {161--166},
  publisher    = {Springer Nature},
  title        = {{CUGC for pontocerebellar hypoplasia type 9 and spastic paraplegia-63}},
  doi          = {10.1038/s41431-018-0231-2},
  volume       = {27},
  year         = {2019},
}

@article{12190,
  abstract     = {Meiotic crossover frequency varies within genomes, which influences genetic diversity and adaptation. In turn, genetic variation within populations can act to modify crossover frequency in cis and trans. To identify genetic variation that controls meiotic crossover frequency, we screened Arabidopsis accessions using fluorescent recombination reporters. We mapped a genetic modifier of crossover frequency in Col × Bur populations of Arabidopsis to a premature stop codon within TBP-ASSOCIATED FACTOR 4b (TAF4b), which encodes a subunit of the RNA polymerase II general transcription factor TFIID. The Arabidopsis taf4b mutation is a rare variant found in the British Isles, originating in South-West Ireland. Using genetics, genomics, and immunocytology, we demonstrate a genome-wide decrease in taf4b crossovers, with strongest reduction in the sub-telomeric regions. Using RNA sequencing (RNA-seq) from purified meiocytes, we show that TAF4b expression is meiocyte enriched, whereas its paralog TAF4 is broadly expressed. Consistent with the role of TFIID in promoting gene expression, RNA-seq of wild-type and taf4b meiocytes identified widespread transcriptional changes, including in genes that regulate the meiotic cell cycle and recombination. Therefore, TAF4b duplication is associated with acquisition of meiocyte-specific expression and promotion of germline transcription, which act directly or indirectly to elevate crossovers. This identifies a novel mode of meiotic recombination control via a general transcription factor.},
  author       = {Lawrence, Emma J. and Gao, Hongbo and Tock, Andrew J. and Lambing, Christophe and Blackwell, Alexander R. and Feng, Xiaoqi and Henderson, Ian R.},
  issn         = {0960-9822},
  journal      = {Current Biology},
  keywords     = {General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology},
  number       = {16},
  pages        = {2676--2686.e3},
  publisher    = {Elsevier BV},
  title        = {{Natural variation in TBP-ASSOCIATED FACTOR 4b controls meiotic crossover and germline transcription in Arabidopsis}},
  doi          = {10.1016/j.cub.2019.06.084},
  volume       = {29},
  year         = {2019},
}

@article{12192,
  abstract     = {Transposable elements (TEs), the movement of which can damage the genome, are epigenetically silenced in eukaryotes. Intriguingly, TEs are activated in the sperm companion cell – vegetative cell (VC) – of the flowering plant Arabidopsis thaliana. However, the extent and mechanism of this activation are unknown. Here we show that about 100 heterochromatic TEs are activated in VCs, mostly by DEMETER-catalyzed DNA demethylation. We further demonstrate that DEMETER access to some of these TEs is permitted by the natural depletion of linker histone H1 in VCs. Ectopically expressed H1 suppresses TEs in VCs by reducing DNA demethylation and via a methylation-independent mechanism. We demonstrate that H1 is required for heterochromatin condensation in plant cells and show that H1 overexpression creates heterochromatic foci in the VC progenitor cell. Taken together, our results demonstrate that the natural depletion of H1 during male gametogenesis facilitates DEMETER-directed DNA demethylation, heterochromatin relaxation, and TE activation.},
  author       = {He, Shengbo and Vickers, Martin and Zhang, Jingyi and Feng, Xiaoqi},
  issn         = {2050-084X},
  journal      = {eLife},
  keywords     = {General Immunology and Microbiology, General Biochemistry, Genetics and Molecular Biology, General Medicine, General Neuroscience},
  publisher    = {eLife Sciences Publications, Ltd},
  title        = {{Natural depletion of histone H1 in sex cells causes DNA demethylation, heterochromatin decondensation and transposon activation}},
  doi          = {10.7554/elife.42530},
  volume       = {8},
  year         = {2019},
}

@misc{9726,
  abstract     = {A detailed description of the two stochastic models, table of parameters, supplementary data for Figures 4 and 5, parameter dependence of the results, and an analysis on motors with different force–velocity functions (PDF)},
  author       = {Ucar, Mehmet C and Lipowsky, Reinhard},
  publisher    = {American Chemical Society },
  title        = {{Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding}},
  doi          = {10.1021/acs.nanolett.9b04445.s001},
  year         = {2019},
}

@misc{9731,
  abstract     = {OGs with putative pseudogenes by the number of affected genomes in different chlamydial species. Frameshift and nonsense mutations located less than 60 bp upstreamof the gene end or present in a single genome from the corresponding OG were excluded. (CSV 31 kb)},
  author       = {Sigalova, Olga and Chaplin, Andrei and Bochkareva, Olga and Shelyakin, Pavel and Filaretov, Vsevolod and Akkuratov, Evgeny and Burskaia, Valentina and Gelfand, Mikhail S.},
  publisher    = {Springer Nature},
  title        = {{Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}},
  doi          = {10.6084/m9.figshare.9808772.v1},
  year         = {2019},
}

@misc{9783,
  abstract     = {Predicted frameshift and nonsense mutations in Chlamydial pan-genome. For the analysis of putative pseudogenes, events located less than 60 bp. away from gene end or present in a single genome from the corresponding OG were excluded. (CSV 600 kb)},
  author       = {Sigalova, Olga M. and Chaplin, Andrei V. and Bochkareva, Olga and Shelyakin, Pavel V. and Filaretov, Vsevolod A. and Akkuratov, Evgeny E. and Burskaia, Valentina and Gelfand, Mikhail S.},
  publisher    = {Springer Nature},
  title        = {{Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction}},
  doi          = {10.6084/m9.figshare.9808760.v1},
  year         = {2019},
}

