title: pyRMSD: a Python package for efficient pairwise RMSD matrix calculation and handling.
abstract: CONCLUSIONS
  We introduce pyRMSD, an open source standalone Python package that aims at offering an integrative and efficient way of performing Root Mean Square Deviation (RMSD)-related calculations of large sets of structures. It is specially tuned to do fast collective RMSD calculations, as pairwise RMSD matrices, implementing up to three well-known superposition algorithms. pyRMSD provides its own symmetric distance matrix class that, besides the fact that it can be used as a regular matrix, helps to save memory and increases memory access speed. This last feature can dramatically improve the overall performance of any Python algorithm using it. In addition, its extensibility, testing suites and documentation make it a good choice to those in need of a workbench for developing or testing new algorithms.
  
  
  BACKGROUND
  The source code (under MIT license), installer, test suites and benchmarks can be found at https://pele.bsc.es/ under the tools section.
  
  
  BACKGROUND
  victor.guallar@bsc.es
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Joint BSC-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, 08034 Barcelona, Spain.
authors.forename: Víctor A
authors.initials: VA
authors.lastname: Gil
authors.forename: Víctor
authors.initials: V
authors.lastname: Guallar
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D011381:Programming Languages; D012984:Software