Introducing the slime mold graph repository

被引:9
作者
Dirnberger, M. [1 ]
Mehlhorn, K. [1 ]
Mehlhorn, T. [2 ]
机构
[1] Max Planck Inst Informat, Saarbrucken, Germany
[2] Korea Insitute Technol Europe, Saarbrucken, Germany
关键词
experimental data; networks; graphs; repository; slime molds;
D O I
10.1088/1361-6463/aa7326
中图分类号
O59 [应用物理学];
学科分类号
摘要
We introduce the slime mold graph repository or SMGR, a novel data collection promoting the visibility, accessibility and reuse of experimental data revolving around network-forming slime molds. By making data readily available to researchers across multiple disciplines, the SMGR promotes novel research as well as the reproduction of original results. While SMGR data may take various forms, we stress the importance of graph representations of slime mold networks due to their ease of handling and their large potential for reuse. Data added to the SMGR stands to gain impact beyond initial publications or even beyond its domain of origin. We initiate the SMGR with the comprehensive Kist Europe data set focusing on the slime mold Physarum polycephalum, which we obtained in the course of our original research. It contains sequences of images documenting growth and network formation of the organism under constant conditions. Suitable image sequences depicting the typical P. polycephalum network structures are used to compute sequences of graphs faithfully capturing them. Given such sequences, node identities are computed, tracking the development of nodes over time. Based on this information we demonstrate two out of many possible ways to begin exploring the data. The entire data set is well-documented, self-contained and ready for inspection at http://smgr.mpi-inf.mpg.de.
引用
收藏
页数:9
相关论文
共 25 条
[1]   Random network peristalsis in Physarum polycephalum organizes fluid flows across an individual [J].
Alim, Karen ;
Amselem, Gabriel ;
Peaudecerf, Francois ;
Brenner, Michael P. ;
Pringle, Anne .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (33) :13306-13311
[2]  
[Anonymous], 2012, J COMPUTATIONAL INTE, DOI DOI 10.6062/JCIS.2012.03.02.0056
[3]  
[Anonymous], ECOL EVOL
[4]  
[Anonymous], 2008, P 7 PYTHON SCI C
[5]  
Bastian M., 2009, GEPHI OPEN SOURCE SO
[6]   NETWORK COARSENING DYNAMICS IN A PLASMODIAL SLIME MOULD: MODELLING AND EXPERIMENTS [J].
Baumgarten, Werner ;
Jones, Jeff ;
Hauser, Marcus J. B. .
ACTA PHYSICA POLONICA B, 2015, 46 (06) :1201-1218
[7]   Functional organization of the vascular network of Physarum polycephalum [J].
Baumgarten, Werner ;
Hauser, Marcus J. B. .
PHYSICAL BIOLOGY, 2013, 10 (02)
[8]  
Brandner D., 2010, CELL IMAGE LIB
[9]  
CPLEX I., 2005, High-performance software for mathematical programming and optimization
[10]  
Dirberger M, PROPERTIES NET UNPUB