BinaryCIF and CIFTools-Lightweight, efficient and extensible macromolecular data management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F20%3A00117701" target="_blank" >RIV/00216224:14740/20:00117701 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1371/journal.pcbi.1008247" target="_blank" >https://doi.org/10.1371/journal.pcbi.1008247</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pcbi.1008247" target="_blank" >10.1371/journal.pcbi.1008247</a>
Alternative languages
Result language
angličtina
Original language name
BinaryCIF and CIFTools-Lightweight, efficient and extensible macromolecular data management
Original language description
3D macromolecular structural data is growing ever more complex and plentiful in the wake of substantive advances in experimental and computational structure determination methods including macromolecular crystallography, cryo-electron microscopy, and integrative methods. Efficient means of working with 3D macromolecular structural data for archiving, analyses, and visualization are central to facilitating interoperability and reusability in compliance with the FAIR Principles. We address two challenges posed by growth in data size and complexity. First, data size is reduced by bespoke compression techniques. Second, complexity is managed through improved software tooling and fully leveraging available data dictionary schemas. To this end, we introduce BinaryCIF, a serialization of Crystallographic Information File (CIF) format files that maintains full compatibility to related data schemas, such as PDBx/mmCIF, while reducing file sizes by more than a factor of two versus gzip compressed CIF files. Moreover, for the largest structures, BinaryCIF provides even better compression-factor ten and four versus CIF files and gzipped CIF files, respectively. Herein, we describe CIFTools, a set of libraries in Java and TypeScript for generic and typed handling of CIF and BinaryCIF files. Together, BinaryCIF and CIFTools enable lightweight, efficient, and extensible handling of 3D macromolecular structural data.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS Computational Biology
ISSN
1553-734X
e-ISSN
1553-7358
Volume of the periodical
16
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000585163600006
EID of the result in the Scopus database
2-s2.0-85094682973