File:Chemotaxis-A-Feedback-Based-Computational-Model-Robustly-Predicts-Multiple-Aspects-of-Real-Cell-pbio.1000618.s004.ogv

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Original file ‎(Ogg Theora video file, length 19 s, 648 × 648 pixels, 339 kbps, file size: 795 KB)

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English: Chemotaxis to steep attractant gradients. Gradient represents occupancy change from 0% to 20% across the cell.
Date
Source Movie S2 from Neilson M, Veltman D, van Haastert P, Webb S, Mackenzie J, Insall R (2011). "Chemotaxis: A Feedback-Based Computational Model Robustly Predicts Multiple Aspects of Real Cell Behaviour". PLOS Biology. DOI:10.1371/journal.pbio.1000618. PMID 21610858. PMC: 3096608.
Author Neilson M, Veltman D, van Haastert P, Webb S, Mackenzie J, Insall R
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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Date/TimeThumbnailDimensionsUserComment
current03:42, 22 July 201319 s, 648 × 648 (795 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 480P 78 kbps Completed 18:44, 21 August 2018 12 s
Streaming 480p (VP9) 79 kbps Completed 00:12, 17 January 2024 1.0 s
VP9 360P 45 kbps Completed 18:44, 21 August 2018 12 s
Streaming 360p (VP9) 47 kbps Completed 02:59, 31 January 2024 1.0 s
VP9 240P 28 kbps Completed 18:44, 21 August 2018 8.0 s
Streaming 240p (VP9) 30 kbps Completed 05:34, 6 December 2023 2.0 s
WebM 360P 196 kbps Completed 03:44, 22 July 2013 21 s
Streaming 144p (MJPEG) 732 kbps Completed 02:42, 2 November 2023 2.0 s

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