Institution
Université de Montréal
Education•Montreal, Quebec, Canada•
About: Université de Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 45641 authors who have published 100476 publications receiving 4004007 citations. The organization is also known as: University of Montreal & UdeM.
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TL;DR: Together these mechanisms contribute to the continuous dynamic adjustment of sensorimotor interactions, ensuring that the central program and feedback mechanisms are congruous during locomotion.
Abstract: Locomotion results from intricate dynamic interactions between a central program and feedback mechanisms. The central program relies fundamentally on a genetically determined spinal circuitry (central pattern generator) capable of generating the basic locomotor pattern and on various descending pathways that can trigger, stop, and steer locomotion. The feedback originates from muscles and skin afferents as well as from special senses (vision, audition, vestibular) and dynamically adapts the locomotor pattern to the requirements of the environment. The dynamic interactions are ensured by modulating transmission in locomotor pathways in a state- and phase-dependent manner. For instance, proprioceptive inputs from extensors can, during stance, adjust the timing and amplitude of muscle activities of the limbs to the speed of locomotion but be silenced during the opposite phase of the cycle. Similarly, skin afferents participate predominantly in the correction of limb and foot placement during stance on uneven terrain, but skin stimuli can evoke different types of responses depending on when they occur within the step cycle. Similarly, stimulation of descending pathways may affect the locomotor pattern in only certain phases of the step cycle. Section ii reviews dynamic sensorimotor interactions mainly through spinal pathways. Section iii describes how similar sensory inputs from the spinal or supraspinal levels can modify locomotion through descending pathways. The sensorimotor interactions occur obviously at several levels of the nervous system. Section iv summarizes presynaptic, interneuronal, and motoneuronal mechanisms that are common at these various levels. Together these mechanisms contribute to the continuous dynamic adjustment of sensorimotor interactions, ensuring that the central program and feedback mechanisms are congruous during locomotion.
1,003 citations
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TL;DR: The Biological General Repository for Interaction Datasets (BioGRID) is an open access archive of genetic and protein interactions that are curated from the primary biomedical literature for all major model organism species.
Abstract: The Biological General Repository for Interaction Datasets (BioGRID: http//thebiogrid.org) is an open access archive of genetic and protein interactions that are curated from the primary biomedical literature for all major model organism species. As of September 2012, BioGRID houses more than 500 000 manually annotated interactions from more than 30 model organisms. BioGRID maintains complete curation coverage of the literature for the budding yeast Saccharomyces cerevisiae, the fission yeast Schizosaccharomyces pombe and the model plant Arabidopsis thaliana. A number of themed curation projects in areas of biomedical importance are also supported. BioGRID has established collaborations and/or shares data records for the annotation of interactions and phenotypes with most major model organism databases, including Saccharomyces Genome Database, PomBase, WormBase, FlyBase and The Arabidopsis Information Resource. BioGRID also actively engages with the text-mining community to benchmark and deploy automated tools to expedite curation workflows. BioGRID data are freely accessible through both a user-defined interactive interface and in batch downloads in a wide variety of formats, including PSI-MI2.5 and tab-delimited files. BioGRID records can also be interrogated and analyzed with a series of new bioinformatics tools, which include a post-translational modification viewer, a graphical viewer, a REST service and a Cytoscape plugin.
1,000 citations
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University of Massachusetts Medical School1, Broad Institute2, Stanford University3, Cold Spring Harbor Laboratory4, University of Washington5, University of California, San Diego6, Massachusetts Institute of Technology7, Ludwig Institute for Cancer Research8, University of California, San Francisco9, Salk Institute for Biological Studies10, California Institute of Technology11, University of California, Irvine12, Pennsylvania State University13, Lawrence Berkeley National Laboratory14, University of Connecticut Health Center15, McGill University16, Université de Montréal17, University of Minnesota18, Florida State University19, Yale University20, University of Alabama in Huntsville21, University of Chicago22, University of California, Merced23, University of Colorado Boulder24, Icahn School of Medicine at Mount Sinai25, Pompeu Fabra University26, University of Southern California27, University of California, Berkeley28, Harvard University29, Tongji University30, Boston University31
TL;DR: The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development.
Abstract: The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal (https://www.encodeproject.org), including phase II ENCODE1 and Roadmap Epigenomics2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes.
999 citations
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TL;DR: In this article, a review of the various approaches that have been proposed and investigated and critical limiting factors identified are reviewed and various approaches have been applied and reviewed and the critical limiting factor is the amount of hydrogen produced per mole of substrate.
997 citations
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German Cancer Research Center1, Université de Sherbrooke2, University Health Network3, University of Pittsburgh4, IMT Institute for Advanced Studies Lucca5, St. Jude Children's Research Hospital6, University of Toronto7, Zhejiang University of Technology8, Harvard University9, Utrecht University10, Université de Montréal11, National Research Council12, University of Washington13, University of Western Ontario14, École Polytechnique Fédérale de Lausanne15, ETSI16, Siemens17, University of Southern California18, King's College London19, University of Bordeaux20, Centre national de la recherche scientifique21, Copenhagen University Hospital22, University of Hamburg23, University of Basel24
TL;DR: The encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent) is reported, however, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups.
Abstract: Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups. Taken together, our results demonstrate and confirm fundamental ambiguities inherent in tract reconstruction based on orientation information alone, which need to be considered when interpreting tractography and connectivity results. Our approach provides a novel framework for estimating reliability of tractography and encourages innovation to address its current limitations.
996 citations
Authors
Showing all 45957 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yoshua Bengio | 202 | 1033 | 420313 |
Alan C. Evans | 183 | 866 | 134642 |
Richard H. Friend | 169 | 1182 | 140032 |
Anders Björklund | 165 | 769 | 84268 |
Charles N. Serhan | 158 | 728 | 84810 |
Fernando Rivadeneira | 146 | 628 | 86582 |
C. Dallapiccola | 136 | 1717 | 101947 |
Michael J. Meaney | 136 | 604 | 81128 |
Claude Leroy | 135 | 1170 | 88604 |
Georges Azuelos | 134 | 1294 | 90690 |
Phillip Gutierrez | 133 | 1391 | 96205 |
Danny Miller | 133 | 512 | 71238 |
Henry T. Lynch | 133 | 925 | 86270 |
Stanley Nattel | 132 | 778 | 65700 |
Lucie Gauthier | 132 | 679 | 64794 |