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1,456 results for “parallelism”
Figure 15 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 15. Macrobiotus kirghizicus from the Kyrgyz Republic – buccal apparatus and the oral cavity armature seen in PCM: A, dorsoventral projection of the entire buccal apparatus; B, C, oral cavity armature visible from dorsal (B) and ventral (C) view, respectively; D, oral cavity armature visible from lateral view; E, macroplacoid morphology. Filled flat arrowheads indicate the third band of teeth in the oral cavity, empty arrow indicates dorsal cuticular spike, empty flat arrowhead indicates the second band of teeth in the oral cavity, empty indented arrowheads indicate central constrictions in first macroplacoid and subterminal constriction in second macroplacoid. Scale bars in µm.
Figure 6 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 6. Macrobiotus ariekammensis groenlandicus subsp. nov. – cuticular structures on legs: A–C, granulation on the external surface of legs III seen in PCM (A) and SEM (B, C), respectively; C, shows a magnification of leg granulation above the dense granulation patch; D–F, granulation on the internal surface of legs III seen in PCM (D) and SEM (E, F), respectively; F, shows a magnification of leg granulation above the dense granulation patch; G–I, granulation on the dorsal and dorsolateral surface of leg IV seen in PCM (G) and SEM (H, I); I, shows a magnification of leg granulation above the dense granulation patch. Filled flat arrowheads indicate the dense granulation patch on the external leg surface, empty indented arrowhead indicates the cuticular bulge (pulvini), empty flat arrowheads indicate the dense granulation patch on the internal leg surface, filled indented arrowhead indicates cuticular bar under the claws. Scale bars in µm.
Figure 7 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 7. Macrobiotus ariekammensis groenlandicus subsp. nov. – claws: A, B, claws III and IV seen in PCM, respectively; C–E, claws I, III and IV seen in SEM, respectively. Filled flat arrowheads indicate double muscles attachments under the claws, filled indented arrowhead indicates cuticular bar under the claws. Scale bars in µm.
Figure 5. Macrobiotus ariekammensis groenlandicus subsp. nov. A in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 5. Macrobiotus ariekammensis groenlandicus subsp. nov. A, habitus, dorsoventral projection (holotype, Hoyer's medium, PCM); B, C, well-visible granulation on the dorsal (B) and ventral (C) parts of the body seen in PCM; D, less-visible granulation on the dorsal part of the body seen in PCM; E, F, granulation on the dorsal part of the body seen in SEM; G, magnification on the cuticular pore and granulation on the dorsal part of the body in SEM. Filled flat arrowheads indicate the granules of granulation seen in SEM. Scale bars in µm.
Figure 4 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 4. Macrobiotus ariekammensis ariekammensis from Svalbard – egg chorion morphology seen in PCM: A, B, surface of the egg under 1000× magnification; C–H, midsections of eggs processes under 1000× magnification. Filled flat arrowheads indicate a crown of dark thickenings and pores arranged alternately around egg processes bases. Scale bars in µm.
Figure 3 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 3. Macrobiotus ariekammensis ariekammensis from Svalbard – buccal apparatus and the oral cavity armature seen in PCM: A, dorsoventral projection of the entire buccal apparatus; B, C, oral cavity armature visible from dorsal (B) and ventral (C) views, respectively; D, E, placoid morphology visible from dorsal (D) and ventral (E) views, respectively. Filled flat arrowheads indicate a single tooth in dorsal portion of the third band of teeth in the oral cavity, empty arrow indicates cuticular spike, empty indented arrowheads indicate central constrictions in first macroplacoids and faint subterminal constriction in second macroplacoid. Scale bars in µm.
Figure 2 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 2. Macrobiotus ariekammensis ariekammensis from Svalbard – claws: A, B, claws II and IV respectively, seen in PCM; C, single continuous cuticular bar and double muscle attachments on leg I seen in PCM; D, details of lunulae on leg IV seen in PCM. Empty flat arrowhead indicates discontinuous cuticular bar, filled flat arrowheads indicate double muscles attachments, filled indented arrowhead indicates cuticular bar. Scale bars in µm.
Figure 1 in The Macrobiotus ariekammensis species complex provides evidence for parallel evolution of claw elongation in macrobiotid tardigrades
Figure 1. Macrobiotus ariekammensis ariekammensis from Svalbard: A, habitus, dorsoventral projection (Hoyer's medium, PCM); B, cuticular pores on the dorsal part of the body seen in PCM; C, granulation on the external surface of leg III seen in PCM; D, granulation on the internal surface of leg III seen in PCM; E, granulation on the dorsal and dorsolateral surface of leg IV seen in PCM. Filled flat arrowhead indicates granulation patch on the external leg surface, empty flat arrowhead indicates the faint granulation patch on the internal leg surface, filled indented arrowhead indicates cuticular bar under claws, empty indented arrowhead indicates the cuticular bulge (pulvini). Scale bars in µm.
Phylogeography of a widely distributed plant species reveals cryptic genetic lineages with parallel phenotypic responses to warming and drought conditions
<p>To predict how widely distributed species will perform under future climate change it is crucial to understand and reveal their underlying phylogenetics. However, detailed information about plant adaptation and its genetic basis and history remains scarce and especially widely distributed species receive little attention despite their putatively high adaptability. To examine the adaptation potential of a widely distributed species, we sampled the model plant <em>Silene vulgaris</em> across Europe. In a greenhouse experiment, we exposed the offspring of these populations to a climate-change scenario for central Europe and revealed the population structure through whole genome sequencing. Plants were grown under two temperature (18°C, 21°C) and three precipitation regimes (65 mm, 75 mm, 90 mm) to measure their response in biomass and fecundity related traits. To reveal the population genetic structure, ddRAD sequencing was employed for a whole genome approach. We found three major genetic clusters in <em>S. vulgaris</em> from Europe: one cluster comprising Southern European populations, one cluster of Western European populations and another cluster containing Central European populations. Population genetic diversity decreased with increasing latitude and a Mantel test revealed significant correlations between FST and geographic distances as well as between genetic and environmental distances. Our trait analysis showed that the genetic clusters significantly differed in biomass-related traits and in the days to flowering. However, half of the traits showed parallel response patterns to the experimental climate change scenario. Due to the differentiated but parallel response patterns, we assume that phenotypic plasticity plays an important role for the adaptation of the widely distributed species <em>S. vulgaris</em> and its intraspecific genetic lineages.</p>
VladislavKaryukin/kk_en_corpora: The Kazakh - English parallel corpora
<p>The full corpora of 380 thousand parallel sentences</p>
Mapping and assembly of the Midas cichlid male-specific region supports molecular parallelism in the evolution of a master sex-determining role for amhr2
<p>The evolution of sex chromosomes and their differentiation from autosomes is a major event during genome evolution that happened many times in several lineages. The repeated evolution and lability of sex-determination mechanisms in fishes makes this a well-suited system to test for general and predictable patterns in evolution. According to current theory, differentiation is triggered by the suppression of recombination following the evolution of a new master-sex determining gene. However, the molecular mechanisms that establish recombination suppression are known from few examples, owing to the intrinsic difficulties of assembling sex determining regions (SDRs). Forward-genetics data and the development of long-read sequencing have generated a wealth of data questioning central aspects of the current theory. Here, we demonstrate that sex in Midas cichlids is determined by an XY system, identify and assemble the SDR by combining forward-genetics, long-read sequencing and optical mapping. We show how long-reads aid in the detection of artifacts in genotype-phenotype mapping that arise from incomplete genome assemblies. The male-specific region is restricted to a 100 kb segment on chromosome 4 that harbors transposable elements and a Y-specific duplicate of the anti-Mullerian receptor 2 locus, a known sex-determining gene. Our data suggests that <em>amhr2Y</em> originated by an interchromosomal translocation from chromosome 20 to 4 predating the split of Midas and Flier cichlids. In the later, it is pseudogenized and translocated to another chromosome. Duplication of anti-Mullerian genes is a common route to establishing new sex determiners, highlighting the role of molecular parallelism in the evolution of sex determination.</p>
Dataset for article: "Massively parallel de novo protein design for targeted therapeutics", DOI: 10.1038/nature23912
<p><strong>"Massively parallel de novo protein design for targeted therapeutics" </strong></p> <p>DOI: 10.1038/nature23912 </p> <p><strong>Supplementary Information</strong>. Archive of designs, Rosetta metrics and experimental results.</p> <p>Authors: <strong>Aaron Chevalier*</strong>, <strong>Daniel-Adriano Silva*</strong>, <strong>Gabriel J. Rocklin*</strong>, Derrick R. Hicks, Renan Vergara, Patience Murapa, Steffen M. Bernard, Lu Zhang, Kwok-ho Lam, Guorui Yao, Christopher D. Bahl, Shin-ichiro Miyashita, Inna Goreshnik, James T. Fuller, Merika T. Koday, Cody Jenkins, Tom Colvin, Lauren Carter, Alan Bohn, Cassie M. Bryan, D. Alejandro Fernández-Velasco, Lance Stewart, Min Dong, Xuhui huang, Rongsheng Jin, Ian A. Wilson, Deborah H. Fuller & <strong>David Baker</strong></p> <p><strong>*These authors contributed equally to this work</strong>.</p> <p>Correspondence to: dabaker@uw.edu</p> <p>Dataset Compiled by D-A.S.</p> <p>Date: 13/Sep/2017</p>
Data used for analysis in "Calibrating tropical forest coexistence in ecosystem demography models using multi-objective optimization through population-based parallel surrogate search"
Open the record for dataset details and reuse information.
An Exoskeleton System using a 3-UPU Spherical Parallel Manipulator for Rehabilitation in Stroke Patients
<p>One of the important branches of medical robotics is rehabilitation robotics. A 3-UPU spherical parallel manipulator is designed and controlled to perform wrist extension, flexion, radial deviation and ulnar deviation motions in stroke-affected patients. This exoskeleton robot produces spherical motion about a fixed center. In order to produce the rotational motion, the robot is designed based on certain geometric and structural conditions. Using the inverse kinematics solution the 3-UPU robot is controlled to perform rehabilitation task. The robot parts are manufactured using additive manufacturing technology. The manufacturing tolerance in universal joints have been identified. There is always a mystery behind the singularity of this robot, which describes the manner in which it will collapse in its home position. Thus, the robot is designed and developed in such a way that it can be effectively used at home position for hand rehabilitation.</p>
MADDD-seq, a novel massively parallel sequencing tool for simultaneous detection of DNA damage and mutations
<p>The file "data.tar" contains the output of the MADDD-seq pipepline. There is one sub-folder per sample. For each sample, the most important files are:</p> <ul> <li>max_variants_2.adduct.gtf : A GTF file with the location (and details) about each adduct called by the pipepline</li> <li>max_variants_2.DSC.vcf.gz : A VCF (Variant Call File) with information about mutations called.</li> <li>coverage.rds : pre-computed coverage information in binary format to be loaded in R.</li> </ul> <p>To analyze this data, use the following R files: adducts.R, mutations.R and jason-function-2022-04.R</p> <p> </p> <p>The file "kallisto-h5.tar" contains the output of running Kallisto on the regular RNAseq data (for expression level analysis). To analyze this data, use the following R files: Yeast-MNNG-MGT.Rmd and myDESeq2.R</p> <p> </p> <p>The source code of the R files will need to be modified to point at the location of files on the computer being used. These modifications are pointed by comments in the code and are located towards the start of each file.</p>
Implementing YewPar: a Framework for Parallel Tree Search [Dataset]
<p>Dataset and scripts for "Implementing YewPar: a Framework for Parallel Tree Search"</p>
Datasets for "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"
<p>Zipped datasets files for replicating results of: "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"</p> <p>DATASETS WERE NOT CREATED BY US. DATASETS ARE WORKS OF RESEARCHERS AND PAPERS REFERENCED IN "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"</p>
Simulation of single cell read and parallel read for a 1T1R and a pseudo-crossbar memristor array
<p>Dataset: simulation of single cell read and parallel read for a 1T1R and a pseudo-crossbar memristor array (Deliverable D4.2 "Initial memristor crossbar based logic/arithmetic and memory designs and models", Fig.13, H2020 Project MNEMOSENE)</p>
Fig. 11 in Parallel evolution of leaf morphology in gnetophytes
Fig. 11 Leaf venation patterns of Cretaceous gnetophytes. a Siphonospermum simplex Rydin et Friis. b–d Drewria potomacensis Crane et Upchurch (redrawn from Crane and Upchurch 1987)
Fig. 8 in Parallel evolution of leaf morphology in gnetophytes
Fig. 8 Reconstruction of Ephedra multinervia displaying dichasial branching pattern, the lengthy and strap-shaped leaves and the sessile two-seeded female cones having a receptacle. b bract, fru female reproductive unit, l leaf, r receptacle
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.