Category:Media from PLOS Computational Biology

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  2007 May.tif 615 × 615 ; 584 kio
  
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  A depiction of a reconstructed HSN neuron from the fly rendered with ray-tracing program POV-Ray.png 650 × 650 ; 702 kio
  
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  A dynamic bistable hidden Markov model.svg 326 × 255 ; 8 kio
  
• A-Bio-inspired-Collision-Avoidance-Model-Based-on-Spatial-Information-Derived-from-Motion-Detectors-pcbi.1004339.s018.ogv 26 s, 1 034 × 516 ; 1,86 Mio
  
• A-Bio-inspired-Collision-Avoidance-Model-Based-on-Spatial-Information-Derived-from-Motion-Detectors-pcbi.1004339.s019.ogv 26 s, 1 034 × 516 ; 1,58 Mio
  
• A-Bio-inspired-Collision-Avoidance-Model-Based-on-Spatial-Information-Derived-from-Motion-Detectors-pcbi.1004339.s020.ogv 26 s, 900 × 1 200 ; 27,69 Mio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s009.ogv 40 s, 640 × 480 ; 5,54 Mio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s010.ogv 20 s, 640 × 480 ; 368 kio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s011.ogv 20 s, 640 × 480 ; 1,16 Mio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s012.ogv 20 s, 640 × 480 ; 1,01 Mio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s013.ogv 20 s, 640 × 480 ; 918 kio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s014.ogv 20 s, 640 × 480 ; 783 kio
  
• A-Cell-Based-Model-for-Quorum-Sensing-in-Heterogeneous-Bacterial-Colonies-pcbi.1000819.s015.ogv 20 s, 640 × 480 ; 1,28 Mio
  
• A-Common-Model-for-Cytokine-Receptor-Activation-Combined-Scissor-Like-Rotation-and-Self-Rotation-of-pcbi.1002427.s009.ogv 13 s, 800 × 600 ; 364 kio
  
• A-Comprehensive-Model-of-the-Spatio-Temporal-Stem-Cell-and-Tissue-Organisation-in-the-Intestinal-pcbi.1001045.s004.ogv 54 s, 300 × 400 ; 12,68 Mio
  
• A-Comprehensive-Model-of-the-Spatio-Temporal-Stem-Cell-and-Tissue-Organisation-in-the-Intestinal-pcbi.1001045.s005.ogv 58 s, 300 × 400 ; 10,89 Mio
  
• A-Computational-Clonal-Analysis-of-the-Developing-Mouse-Limb-Bud-pcbi.1001071.s009.ogv 18 s, 854 × 722 ; 16,25 Mio
  
• A-Computational-Clonal-Analysis-of-the-Developing-Mouse-Limb-Bud-pcbi.1001071.s010.ogv 18 s, 917 × 719 ; 8,64 Mio
  
• A-Computational-Clonal-Analysis-of-the-Developing-Mouse-Limb-Bud-pcbi.1001071.s011.ogv 25 s, 925 × 720 ; 1,48 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s004.ogv 5,0 s, 800 × 600 ; 3,26 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s005.ogv 3,2 s, 800 × 592 ; 1,44 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s006.ogv 4,0 s, 800 × 592 ; 1,29 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s007.ogv 3,2 s, 800 × 592 ; 1,32 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s008.ogv 2,8 s, 800 × 592 ; 1,99 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s009.ogv 2,7 s, 800 × 592 ; 2,04 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s010.ogv 6,0 s, 800 × 600 ; 3,98 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s011.ogv 6,0 s, 800 × 592 ; 3,74 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s012.ogv 6,0 s, 800 × 592 ; 3,95 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s013.ogv 2,8 s, 800 × 592 ; 1,96 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s014.ogv 2,8 s, 800 × 592 ; 2,06 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s015.ogv 2,8 s, 800 × 592 ; 2,06 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s016.ogv 6,0 s, 800 × 592 ; 3,36 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s017.ogv 6,0 s, 800 × 592 ; 3,32 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s018.ogv 6,0 s, 800 × 592 ; 3,15 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s019.ogv 5,9 s, 800 × 592 ; 3,2 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s020.ogv 7,4 s, 800 × 600 ; 4,39 Mio
  
• A-Computational-Framework-for-3D-Mechanical-Modeling-of-Plant-Morphogenesis-with-Cellular-Resolution-pcbi.1003950.s021.ogv 4,4 s, 800 × 592 ; 760 kio
  
• A-Density-Dependent-Switch-Drives-Stochastic-Clustering-and-Polarization-of-Signaling-Molecules-pcbi.1002271.s005.ogv 29 s, 361 × 272 ; 4,46 Mio
  
• A-Density-Dependent-Switch-Drives-Stochastic-Clustering-and-Polarization-of-Signaling-Molecules-pcbi.1002271.s006.ogv 17 s, 361 × 272 ; 2,34 Mio
  
• A-Detailed-History-of-Intron-rich-Eukaryotic-Ancestors-Inferred-from-a-Global-Survey-of-100-pcbi.1002150.s003.ogv 4 min 4 s, 1 280 × 720 ; 23,55 Mio
  
• A-Digital-Framework-to-Build-Visualize-and-Analyze-a-Gene-Expression-Atlas-with-Cellular-Resolution-pcbi.1003670.s027.ogv 42 s, 1 365 × 768 ; 33,82 Mio
  
• A-Digital-Framework-to-Build-Visualize-and-Analyze-a-Gene-Expression-Atlas-with-Cellular-Resolution-pcbi.1003670.s028.ogv 1 min 38 s, 1 365 × 768 ; 13,4 Mio
  
• A-Digital-Framework-to-Build-Visualize-and-Analyze-a-Gene-Expression-Atlas-with-Cellular-Resolution-pcbi.1003670.s029.ogv 1 min 20 s, 1 660 × 1 036 ; 12,9 Mio
  
• A-Digital-Framework-to-Build-Visualize-and-Analyze-a-Gene-Expression-Atlas-with-Cellular-Resolution-pcbi.1003670.s030.ogv 28 s, 1 404 × 878 ; 16,01 Mio
  
• A-Division-in-PIN-Mediated-Auxin-Patterning-during-Organ-Initiation-in-Grasses-pcbi.1003447.s017.ogv 15 s, 480 × 480 ; 1,05 Mio
  
• A-Division-in-PIN-Mediated-Auxin-Patterning-during-Organ-Initiation-in-Grasses-pcbi.1003447.s018.ogv 1 min 35 s, 156 × 480 ; 779 kio
  
• A-Division-in-PIN-Mediated-Auxin-Patterning-during-Organ-Initiation-in-Grasses-pcbi.1003447.s019.ogv 1 min 35 s, 640 × 416 ; 1,91 Mio
  
• A-Division-in-PIN-Mediated-Auxin-Patterning-during-Organ-Initiation-in-Grasses-pcbi.1003447.s020.ogv 2 min 9 s, 640 × 490 ; 4,84 Mio
  
• A-Forced-Damped-Oscillation-Framework-for-Undulatory-Swimming-Provides-New-Insights-into-How-pcbi.1003097.s001.ogv 10 s, 1 440 × 752 ; 1,73 Mio
  
• A-Forced-Damped-Oscillation-Framework-for-Undulatory-Swimming-Provides-New-Insights-into-How-pcbi.1003097.s002.ogv 13 s, 1 440 × 752 ; 1,74 Mio
  
• A-Generative-Statistical-Algorithm-for-Automatic-Detection-of-Complex-Postures-pcbi.1004517.s006.ogv 40 s, 450 × 510 ; 422 kio
  
• A-Generative-Statistical-Algorithm-for-Automatic-Detection-of-Complex-Postures-pcbi.1004517.s007.ogv 59 s, 1 176 × 290 ; 3,29 Mio
  
• A-Hierarchical-Neuronal-Model-for-Generation-and-Online-Recognition-of-Birdsongs-pcbi.1002303.s001.ogg 6,5 s ; 20 kio
  
• A-Jump-from-Cavity-Pyrophosphate-Ion-Release-Assisted-by-a-Key-Lysine-Residue-in-T7-RNA-Polymerase-pcbi.1004624.s013.ogv 13 s, 860 × 740 ; 18,23 Mio
  
• A-MAPK-Driven-Feedback-Loop-Suppresses-Rac-Activity-to-Promote-RhoA-Driven-Cancer-Cell-Invasion-pcbi.1004909.s008.ogv 14 s, 500 × 447 ; 2,28 Mio
  
• A-MAPK-Driven-Feedback-Loop-Suppresses-Rac-Activity-to-Promote-RhoA-Driven-Cancer-Cell-Invasion-pcbi.1004909.s009.ogv 2,9 s, 612 × 598 ; 1,53 Mio
  
• A-MAPK-Driven-Feedback-Loop-Suppresses-Rac-Activity-to-Promote-RhoA-Driven-Cancer-Cell-Invasion-pcbi.1004909.s010.ogv 8,6 s, 1 000 × 522 ; 5,14 Mio
  
• A-MAPK-Driven-Feedback-Loop-Suppresses-Rac-Activity-to-Promote-RhoA-Driven-Cancer-Cell-Invasion-pcbi.1004909.s011.ogv 2,9 s, 1 024 × 1 024 ; 1,09 Mio
  
• A-Mathematical-Model-for-Neutrophil-Gradient-Sensing-and-Polarization-pcbi.0030036.sv001.ogv 0,0 s, 432 × 336 ; 2,28 Mio
  
• A-Mathematical-Model-for-Neutrophil-Gradient-Sensing-and-Polarization-pcbi.0030036.sv002.ogv 5,6 s, 432 × 336 ; 1,09 Mio
  
• A-Mathematical-Model-of-Muscle-Containing-Heterogeneous-Half-Sarcomeres-Exhibits-Residual-Force-pcbi.1002156.s001.ogv 34 s, 528 × 768 ; 570 kio
  
• A-Mathematical-Model-of-Muscle-Containing-Heterogeneous-Half-Sarcomeres-Exhibits-Residual-Force-pcbi.1002156.s002.ogv 27 s, 528 × 768 ; 512 kio
  
• A-Model-for-Integrating-Elementary-Neural-Functions-into-Delayed-Response-Behavior-pcbi.0020025.sv001.ogv 1 min 6 s, 320 × 240 ; 410 kio
  
• A-Model-for-Integrating-Elementary-Neural-Functions-into-Delayed-Response-Behavior-pcbi.0020025.sv002.ogv 1 min 6 s, 320 × 240 ; 404 kio
  
• A-Model-of-Stimulus-Specific-Neural-Assemblies-in-the-Insect-Antennal-Lobe-pcbi.1000139.s005.ogv 12 s, 343 × 343 ; 247 kio
  
• A-Model-of-Stimulus-Specific-Neural-Assemblies-in-the-Insect-Antennal-Lobe-pcbi.1000139.s006.ogv 12 s, 343 × 343 ; 231 kio
  
• A-Model-of-Stimulus-Specific-Neural-Assemblies-in-the-Insect-Antennal-Lobe-pcbi.1000139.s007.ogv 12 s, 343 × 343 ; 219 kio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s010.ogv 4,8 s, 768 × 768 ; 14,58 Mio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s011.ogv 2,4 s, 768 × 768 ; 7,6 Mio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s012.ogv 4,8 s, 768 × 768 ; 15,39 Mio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s013.ogv 4,8 s, 768 × 768 ; 12,37 Mio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s014.ogv 4,8 s, 768 × 768 ; 12,01 Mio
  
• A-Motor-Gradient-and-Clustering-Model-of-the-Centripetal-Motility-of-MTOCs-in-Meiosis-I-of-Mouse-pcbi.1005102.s015.ogv 4,8 s, 768 × 768 ; 20,82 Mio
  
• A-Multi-cell-Multi-scale-Model-of-Vertebrate-Segmentation-and-Somite-Formation-pcbi.1002155.s016.ogv 1 min 3 s, 640 × 480 ; 6,71 Mio
  
• A-Multi-cell-Multi-scale-Model-of-Vertebrate-Segmentation-and-Somite-Formation-pcbi.1002155.s017.ogv 1 min 2 s, 640 × 480 ; 6,06 Mio
  
• A-Multi-cell-Multi-scale-Model-of-Vertebrate-Segmentation-and-Somite-Formation-pcbi.1002155.s018.ogv 1 min 2 s, 640 × 480 ; 6,04 Mio
  
• A-Multi-cell-Multi-scale-Model-of-Vertebrate-Segmentation-and-Somite-Formation-pcbi.1002155.s019.ogv 29 s, 640 × 480 ; 630 kio
  
• A-Multi-cell-Multi-scale-Model-of-Vertebrate-Segmentation-and-Somite-Formation-pcbi.1002155.s020.ogv 2 min 5 s, 640 × 480 ; 5,94 Mio
  
• A-Multi-Component-Model-of-the-Developing-Retinocollicular-Pathway-Incorporating-Axonal-and-pcbi.1000600.s001.ogv 48 s, 512 × 512 ; 5,13 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s013.ogv 20 s, 764 × 972 ; 17,86 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s014.ogv 20 s, 764 × 972 ; 17,94 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s015.ogv 20 s, 794 × 972 ; 17,82 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s016.ogv 20 s, 736 × 972 ; 16,34 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s017.ogv 20 s, 682 × 972 ; 17,58 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s018.ogv 20 s, 830 × 972 ; 20,66 Mio
  
• A-New-Model-for-Pore-Formation-by-Cholesterol-Dependent-Cytolysins-pcbi.1003791.s019.ogv 20 s, 868 × 972 ; 19,2 Mio
  
• A-Numerical-Approach-to-Ion-Channel-Modelling-Using-Whole-Cell-Voltage-Clamp-Recordings-and-a-pcbi.0030169.sv001.ogv 57 s, 304 × 208 ; 1,58 Mio
  
• 
  A-Primer-on-Metagenomics-pcbi.1000667.g001.jpg 476 × 659 ; 101 kio
  
• 
  A-Primer-on-Metagenomics-pcbi.1000667.g002.jpg 408 × 447 ; 81 kio
  
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  A-Primer-on-Metagenomics-pcbi.1000667.g003.jpg 484 × 596 ; 90 kio
  
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  A-Primer-on-Metagenomics-pcbi.1000667.g004.jpg 500 × 387 ; 30 kio
  
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  A-Quick-Guide-for-Computer-Assisted-Instruction-in-Computational-Biology-and-Bioinformatics-pcbi.1000035.g001.jpg 662 × 288 ; 127 kio
  
• 
  A-Quick-Guide-to-Software-Licensing-for-the-Scientist-Programmer-pcbi.1002598.g001.jpg 689 × 425 ; 99 kio
  
• 
  A-Quick-Guide-to-Software-Licensing-for-the-Scientist-Programmer-pcbi.1002598.g002.jpg 675 × 599 ; 96 kio
  
• A-Reaction-Diffusion-Model-of-Cholinergic-Retinal-Waves-pcbi.1003953.s006.ogv 50 s, 648 × 144 ; 3,69 Mio
  
• A-Reaction-Diffusion-Model-of-ROS-Induced-ROS-Release-in-a-Mitochondrial-Network-pcbi.1000657.s004.ogv 1,9 s, 324 × 120 ; 1,32 Mio
  
• A-Reaction-Diffusion-Model-of-ROS-Induced-ROS-Release-in-a-Mitochondrial-Network-pcbi.1000657.s005.ogv 1,6 s, 316 × 134 ; 1,11 Mio
  
• A-Reaction-Diffusion-Model-of-ROS-Induced-ROS-Release-in-a-Mitochondrial-Network-pcbi.1000657.s006.ogv 1 min 38 s, 472 × 136 ; 13,17 Mio
  
• A-Reaction-Diffusion-Model-of-ROS-Induced-ROS-Release-in-a-Mitochondrial-Network-pcbi.1000657.s007.ogv 29 s, 472 × 136 ; 3,67 Mio
  
• A-Real-Time-All-Atom-Structural-Search-Engine-for-Proteins-pcbi.1003750.s008.ogv 37 s, 876 × 534 ; 10,81 Mio
  
• A-Stochastic-View-of-Spliceosome-Assembly-and-Recycling-in-the-Nucleus-pcbi.0030201.sv001.ogv 3,3 s, 400 × 400 ; 643 kio
  
• A-Stochastic-View-of-Spliceosome-Assembly-and-Recycling-in-the-Nucleus-pcbi.0030201.sv002.ogv 5,5 s, 400 × 400 ; 1,01 Mio
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s007.ogv 30 s, 1 280 × 720 ; 11,61 Mio
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s008.ogv 30 s, 1 280 × 720 ; 8,81 Mio
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s009.ogv 30 s, 1 280 × 720 ; 8,85 Mio
  
• A-Theory-of-Cheap-Control-in-Embodied-Systems-pcbi.1004427.s010.ogv 30 s, 1 280 × 720 ; 9,56 Mio
  
• A-Two-Dimensional-Model-of-the-Colonic-Crypt-Accounting-for-the-Role-of-the-Basement-Membrane-and-pcbi.1002515.s001.ogv 18 s, 450 × 250 ; 3,96 Mio
  
• A-Two-Dimensional-Model-of-the-Colonic-Crypt-Accounting-for-the-Role-of-the-Basement-Membrane-and-pcbi.1002515.s002.ogv 18 s, 500 × 410 ; 6,71 Mio
  
• A-Two-Dimensional-Model-of-the-Colonic-Crypt-Accounting-for-the-Role-of-the-Basement-Membrane-and-pcbi.1002515.s003.ogv 22 s, 250 × 390 ; 4,07 Mio
  
• A-Universal-Mechanism-Ties-Genotype-to-Phenotype-in-Trinucleotide-Diseases-pcbi.0030235.sv001.ogv 30 s, 560 × 420 ; 407 kio
  
• A-Universal-Mechanism-Ties-Genotype-to-Phenotype-in-Trinucleotide-Diseases-pcbi.0030235.sv002.ogv 38 s, 560 × 420 ; 401 kio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s008.ogv 12 s, 1 488 × 832 ; 8,15 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s009.ogv 12 s, 1 488 × 832 ; 6,9 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s010.ogv 12 s, 1 488 × 832 ; 7,95 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s011.ogv 12 s, 1 488 × 832 ; 8,69 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s012.ogv 12 s, 1 488 × 832 ; 7,05 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s013.ogv 12 s, 1 488 × 832 ; 10,69 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s014.ogv 12 s, 1 488 × 832 ; 11,64 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s015.ogv 12 s, 1 488 × 832 ; 8,89 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s016.ogv 12 s, 1 488 × 832 ; 8,84 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s017.ogv 12 s, 1 920 × 1 004 ; 9,7 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s018.ogv 12 s, 1 920 × 1 004 ; 9,71 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s019.ogv 12 s, 1 920 × 1 004 ; 9,17 Mio
  
• A-Validated-Multiscale-In-Silico-Model-for-Mechano-sensitive-Tumour-Angiogenesis-and-Growth-pcbi.1005259.s020.ogv 12 s, 1 920 × 1 004 ; 9,2 Mio
  
• Activated-Membrane-Patches-Guide-Chemotactic-Cell-Motility-pcbi.1002044.s007.ogv 7,1 s, 435 × 343 ; 162 kio
  
• Activated-Membrane-Patches-Guide-Chemotactic-Cell-Motility-pcbi.1002044.s008.ogv 7,1 s, 435 × 343 ; 142 kio
  
• Activated-Membrane-Patches-Guide-Chemotactic-Cell-Motility-pcbi.1002044.s009.ogv 22 s, 389 × 734 ; 492 kio
  
• Activated-Membrane-Patches-Guide-Chemotactic-Cell-Motility-pcbi.1002044.s010.ogv 22 s, 389 × 734 ; 521 kio
  
• Activated-Membrane-Patches-Guide-Chemotactic-Cell-Motility-pcbi.1002044.s011.ogv 27 s, 389 × 734 ; 507 kio
  
• Adaptive-Fast-Walking-in-a-Biped-Robot-under-Neuronal-Control-and-Learning-pcbi.0030134.sv001.ogv 0,0 s, 312 × 240 ; 4,93 Mio
  
• Adaptive-Fast-Walking-in-a-Biped-Robot-under-Neuronal-Control-and-Learning-pcbi.0030134.sv002.ogv 1 min 46 s, 312 × 240 ; 12,29 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s017.ogv 1 min 1 s, 637 × 616 ; 7,11 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s018.ogv 1 min 1 s, 588 × 568 ; 6,38 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s019.ogv 59 s, 637 × 616 ; 6,8 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s020.ogv 1 min 1 s, 588 × 568 ; 6,55 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s021.ogv 1 min 1 s, 637 × 616 ; 7,29 Mio
  
• Adhesion-Failures-Determine-the-Pattern-of-Choroidal-Neovascularization-in-the-Eye-A-Computer-pcbi.1002440.s022.ogv 1 min 1 s, 637 × 616 ; 7,16 Mio
  
• 
  Adventures-in-Semantic-Publishing-Exemplar-Semantic-Enhancements-of-a-Research-Article-pcbi.1000361.g002.jpg 661 × 523 ; 226 kio
  
• 
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• 
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• 
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• 
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• 
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• 
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• 
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• 
  Adventures-in-Semantic-Publishing-Exemplar-Semantic-Enhancements-of-a-Research-Article-pcbi.1000361.g010.jpg 661 × 506 ; 218 kio
  
• Agent-Based-Modeling-of-Oxygen-Responsive-Transcription-Factors-in-Escherichia-coli-pcbi.1003595.s006.ogv 46 s, 640 × 480 ; 4,61 Mio
  
• Allosteric-Communication-in-Myosin-V-From-Small-Conformational-Changes-to-Large-Directed-Movements-pcbi.1000129.s001.ogv 6,4 s, 1 052 × 928 ; 1,85 Mio
  
• Allosteric-Communication-in-Myosin-V-From-Small-Conformational-Changes-to-Large-Directed-Movements-pcbi.1000129.s002.ogv 5,1 s, 1 060 × 624 ; 1 023 kio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s008.ogv 2,0 s, 480 × 464 ; 1,94 Mio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s009.ogv 2,0 s, 448 × 480 ; 1,84 Mio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s010.ogv 2,0 s, 544 × 480 ; 1,61 Mio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s011.ogv 2,0 s, 384 × 480 ; 1,1 Mio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s012.ogv 2,0 s, 512 × 480 ; 2,43 Mio
  
• Allosteric-Communication-Occurs-via-Networks-of-Tertiary-and-Quaternary-Motions-in-Proteins-pcbi.1000293.s013.ogv 2,0 s, 512 × 480 ; 2,15 Mio
  
• 
  An Electronic Nose Estimates Odor Pleasantness.png 650 × 650 ; 440 kio
  
• An-Emerging-Allee-Effect-Is-Critical-for-Tumor-Initiation-and-Persistence-pcbi.1004366.s003.ogv 36 s, 180 × 180 ; 591 kio
  
• An-Emerging-Allee-Effect-Is-Critical-for-Tumor-Initiation-and-Persistence-pcbi.1004366.s004.ogv 36 s, 180 × 180 ; 1,38 Mio
  
• An-Expanded-Notch-Delta-Model-Exhibiting-Long-Range-Patterning-and-Incorporating-MicroRNA-Regulation-pcbi.1003655.s007.ogv 16 s, 1 200 × 900 ; 1,04 Mio
  
• An-Expanded-Notch-Delta-Model-Exhibiting-Long-Range-Patterning-and-Incorporating-MicroRNA-Regulation-pcbi.1003655.s008.ogv 21 s, 1 200 × 900 ; 612 kio
  
• An-Experimental-and-Computational-Study-of-the-Effect-of-ActA-Polarity-on-the-Speed-of-Listeria-pcbi.1000434.s011.ogv 6,1 s, 640 × 640 ; 1,46 Mio
  
• An-Integrated-Framework-Advancing-Membrane-Protein-Modeling-and-Design-pcbi.1004398.s008.ogv 21 s, 1 068 × 600 ; 14,28 Mio
  
• An-Introduction-to-Biomolecular-Graphics-pcbi.1000918.s007.ogv 2 min 2 s, 1 320 × 788 ; 14,4 Mio
  
• Analysis-of-Initial-Cell-Spreading-Using-Mechanistic-Contact-Formulations-for-a-Deformable-Cell-pcbi.1003267.s005.ogv 5,4 s, 1 100 × 868 ; 4,2 Mio
  
• Analysis-of-Initial-Cell-Spreading-Using-Mechanistic-Contact-Formulations-for-a-Deformable-Cell-pcbi.1003267.s006.ogv 5,6 s, 1 000 × 868 ; 10,75 Mio
  
• Analysis-of-Initial-Cell-Spreading-Using-Mechanistic-Contact-Formulations-for-a-Deformable-Cell-pcbi.1003267.s007.ogv 1 min 30 s, 1 912 × 954 ; 5,41 Mio
  
• Angiogenesis-An-Adaptive-Dynamic-Biological-Patterning-Problem-pcbi.1002983.s001.ogv 27 s, 500 × 520 ; 3,41 Mio
  
• Annotation-Error-in-Public-Databases-Misannotation-of-Molecular-Function-in-Enzyme-Superfamilies-pcbi.1000605.s006.ogv 42 s, 748 × 740 ; 1,43 Mio
  
• 
  Approximate Bayesian Computation - journal.pcbi.1002803.pdf 1 275 × 1 645, 10 pages ; 418 kio
  
• 
  Approximate Bayesian computation conceptual overview.svg 632 × 645 ; 307 kio
  
• 
  Approximate Bayesian Computation example.svg 721 × 576 ; 122 kio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s004.ogv 19 s, 526 × 540 ; 17,59 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s005.ogv 24 s, 526 × 540 ; 19,37 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s006.ogv 21 s, 526 × 540 ; 14,44 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s007.ogv 24 s, 526 × 540 ; 14,56 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s008.ogv 22 s, 526 × 540 ; 27,19 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s009.ogv 24 s, 526 × 540 ; 19,92 Mio
  
• Assembly-of-Nsp1-Nucleoporins-Provides-Insight-into-Nuclear-Pore-Complex-Gating-pcbi.1003488.s010.ogv 18 s, 1 280 × 720 ; 6,93 Mio
  
• 
  Assessment-of-Metagenomic-Assembly-Using-Simulated-Next-Generation-Sequencing-Data-pone.0031386.g001.jpg 662 × 159 ; 59 kio
  
• 
  Assessment-of-Metagenomic-Assembly-Using-Simulated-Next-Generation-Sequencing-Data-pone.0031386.g002.jpg 662 × 452 ; 144 kio
  
• 
  Assessment-of-Metagenomic-Assembly-Using-Simulated-Next-Generation-Sequencing-Data-pone.0031386.g003.jpg 662 × 464 ; 153 kio
  
• 
  Assessment-of-Metagenomic-Assembly-Using-Simulated-Next-Generation-Sequencing-Data-pone.0031386.g004.jpg 603 × 758 ; 172 kio
  
• Asymmetric-PTEN-Distribution-Regulated-by-Spatial-Heterogeneity-in-Membrane-Binding-State-pcbi.1002862.s008.ogv 12 s, 372 × 250 ; 1,81 Mio
  
• Asymmetric-PTEN-Distribution-Regulated-by-Spatial-Heterogeneity-in-Membrane-Binding-State-pcbi.1002862.s009.ogv 10 s, 378 × 284 ; 1,44 Mio
  
• Atomistic-Picture-for-the-Folding-Pathway-of-a-Hybrid-1-Type-Human-Telomeric-DNA-G-quadruplex-pcbi.1003562.s017.ogv 12 s, 640 × 480 ; 1,89 Mio
  
• Atomistic-Picture-for-the-Folding-Pathway-of-a-Hybrid-1-Type-Human-Telomeric-DNA-G-quadruplex-pcbi.1003562.s018.ogv 29 s, 640 × 480 ; 7,26 Mio
  
• Atomistic-Picture-for-the-Folding-Pathway-of-a-Hybrid-1-Type-Human-Telomeric-DNA-G-quadruplex-pcbi.1003562.s019.ogv 12 s, 640 × 480 ; 2,96 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s025.ogv 50 s, 854 × 480 ; 13,06 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s026.ogv 50 s, 854 × 480 ; 13,28 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s027.ogv 50 s, 854 × 480 ; 12,73 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s028.ogv 50 s, 854 × 480 ; 11,82 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s029.ogv 25 s, 854 × 480 ; 5,04 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s030.ogv 50 s, 854 × 480 ; 13,84 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s031.ogv 50 s, 854 × 480 ; 13,89 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s032.ogv 50 s, 854 × 480 ; 12,17 Mio
  
• Atrial-Heterogeneity-Generates-Re-entrant-Substrate-during-Atrial-Fibrillation-and-Anti-arrhythmic-pcbi.1005245.s033.ogv 50 s, 854 × 480 ; 10,81 Mio
  
• Attracting-Dynamics-of-Frontal-Cortex-Ensembles-during-Memory-Guided-Decision-Making-pcbi.1002057.s008.ogv 1 min 4 s, 560 × 420 ; 5,14 Mio
  
• Automated-Tracking-of-Whiskers-in-Videos-of-Head-Fixed-Rodents-pcbi.1002591.s004.ogv 30 s, 600 × 600 ; 4,72 Mio
  
• Automated-Tracking-of-Whiskers-in-Videos-of-Head-Fixed-Rodents-pcbi.1002591.s005.ogv 35 s, 610 × 610 ; 12,7 Mio
  
• Automated-Tracking-of-Whiskers-in-Videos-of-Head-Fixed-Rodents-pcbi.1002591.s006.ogv 32 s, 422 × 450 ; 5,09 Mio