BioStructures.jl: read, write and manipulate macromolecular structures in Julia

15 August 2020

journal article
research article
Published by Oxford University Press (OUP) in Bioinformatics

Vol. 36 (14), 4206-4207
https://doi.org/10.1093/bioinformatics/btaa502

Abstract

The Summary: Robust, flexible and fast software to read, write and manipulate macromolecular structures is a prerequisite for productively doing structural bioinformatics. We present BioStructures.jl, the first dedicated package in the Julia programming language for dealing with macromolecular structures and the Protein Data Bank. BioStructures.jl builds on the lessons learned with similar packages to provide a large feature set, a flexible object representation and high performance.

This publication has 17 references indexed in Scilit:

3Dmol.js: molecular visualization with WebGL
Bioinformatics, 2014
The Victor C++ library for protein representation and advanced manipulation
Bioinformatics, 2014
hPDB – Haskell library for processing atomic biomolecular structures in protein data bank format
BMC Research Notes, 2013
ProDy: Protein Dynamics Inferred from Theory and Experiments
Bioinformatics, 2011
BioRuby: bioinformatics software for the Ruby programming language
Bioinformatics, 2010
ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules
Bioinformatics, 2010
Bio3d: an R package for the comparative analysis of protein structures
Bioinformatics, 2006
PDB file parser and structure class implemented in Python
Bioinformatics, 2003
The Bioperl Toolkit: Perl Modules for the Life Sciences
Genome Research, 2002
The Protein Data Bank
Nucleic Acids Research, 2000

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