Advances in Modern Information Technologies for Data Analysis in CRYO-EM and XFEL Experiments

被引:0
|
作者
S. A. Bobkov
A. B. Teslyuk
T. N. Baymukhametov
E. B. Pichkur
Yu. M. Chesnokov
D. Assalauova
A. A. Poyda
A. M. Novikov
S. I. Zolotarev
K. A. Ikonnikova
V. E. Velikhov
I. A. Vartanyants
A. L. Vasiliev
V. A. Ilyin
机构
[1] National Research Centre “Kurchatov Institute”,
[2] Moscow Institute of Physics and Technology (State University),undefined
[3] Deutsches Elektronen-Synchrotron DESY,undefined
[4] Shubnikov Institute of Crystallography,undefined
[5] Federal Scientific Research Centre “Crystallography and Photonics,undefined
[6] ” Russian Academy of Sciences,undefined
[7] National Research Nuclear University MEPhI,undefined
来源
Crystallography Reports | 2020年 / 65卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A new approach to the organization of data pipelining in cryo-electron microscopy (Cryo-EM) and X-ray free-electron laser (XFEL) experiments is presented. This approach, based on the progress in information technologies (IT) due to the development of containerization techniques, allows one to separate user’s work at the application level from the developments of IT experts at the system and middleware levels. A user must only perform two simple operations: pack application packages in containers and write a workflow with data processing logic in a standard format. Some examples of containerized workflows for Cryo-EM and XFEL experiments on study of the spatial structure of single biological nanoobjects (viruses, macromolecules, etc.) are discussed. Examples of program codes for installing applied packages in Docker containers and examples of applied workflows written in the high-level language CWL are presented at the site of the project. The examples have comments, which may help an IT-inexperienced researcher to gain an idea of how to organize Docker containers and form CWL workflows for Cryo-EM and XFEL data pipelining.
引用
收藏
页码:1081 / 1092
页数:11
相关论文
共 50 条
  • [21] Challenges, advances, and opportunities in RNA structural biology by Cryo-EM
    Bonilla, Steve L.
    Jang, Karen
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2024, 88
  • [22] Resolution advances in cryo-EM enable application to drug discovery
    Subramaniam, Sriram
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2017, 73 : C37 - C37
  • [23] Recent algorithmic advances for single-particle cryo-EM
    Punjani, Ali
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2019, 75 : A405 - A405
  • [24] Advances in high-resolution cryo-EM of oligomeric enzymes
    Vonck, Janet
    Mills, Deryck J.
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2017, 46 : 48 - 54
  • [25] Expediting cryo-EM sample preparation using design of experiments
    Haynes, Rose Marie
    Myers, Janette B.
    BIOPHYSICAL JOURNAL, 2023, 122 (03) : 544A - 544A
  • [26] RNA sample optimization for cryo-EM analysis
    Chen, Xingyu
    Wang, Liu
    Xie, Jiahao
    Nowak, Jakub S.
    Luo, Bingnan
    Zhang, Chong
    Jia, Guowen
    Zou, Jian
    Huang, Dingming
    Glatt, Sebastian
    Yang, Yang
    Su, Zhaoming
    NATURE PROTOCOLS, 2024,
  • [27] Validation, analysis and annotation of cryo-EM structures
    Pintilie, Grigore
    Chiu, Wah
    ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2021, 77 : 1142 - 1152
  • [28] Community recommendations on validating cryo-EM models and data
    Kleywegt, Gerard
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2021, 77 : C54 - C54
  • [29] Hierarchical Elastic Network Modeling of cryo-EM Data
    Burger, Virginia
    Bahar, Ivet
    Chennubhotla, Chakra
    BIOPHYSICAL JOURNAL, 2011, 100 (03) : 534 - 534
  • [30] Cross-Validation of Data in SAXS and Cryo-EM
    Afsari, Bijan
    Kim, Jin Seob
    Chirikjian, Gregory S.
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2015, : 1224 - 1230