Evidence map›Paper›PMID 23793153›Full record

ArticleActa crystallographica. Section D, Biological crystallography2013

New Python-based methods for data processing.

Nicholas K Sauter, Johan Hattne, Ralf W Grosse-Kunstleve, Nathaniel Echols

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Serial femtosecond crystallography.Nature reviews. Methods primers · 2022
    Article
  12. Article
  13. DIALS as a toolkit.Protein science : a publication of the Protein Society · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicholas K SauterPhysical Biosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA. nksauter@lbl.gov
Johan Hattne
Ralf W Grosse-Kunstleve
Nathaniel Echols

Funding

PROJECT 5 - DUKE - STRUCTURE VALIDATION AND IMPROVEMENT FOR PROTEINS AND N. ACIDSP01GM063210 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ADAMS, PAUL DAVID · 2001 to 2021
$33.5M
Realizing New Horizons in X-ray Crystallography Data ProcessingR01GM095887 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2011 to 2014
$1.5M
Towards real-time XFEL data reduction with CCTBXR01GM102520 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2012 to 2015
$1.4M
NIGMS NIH HHS 1P01GM063210NIGMS NIH HHS 1R01GM095887NIGMS NIH HHS 1R01GM102520NIGMS NIH HHS P01 GM063210NIGMS NIH HHS R01 GM095887NIGMS NIH HHS R01 GM102520
6 · The paper itself

Abstract

Current pixel-array detectors produce diffraction images at extreme data rates (of up to 2 TB h(-1)) that make severe demands on computational resources. New multiprocessing frameworks are required to achieve rapid data analysis, as it is important to be able to inspect the data quickly in order to guide the experiment in real time. By utilizing readily available web-serving tools that interact with the Python scripting language, it was possible to implement a high-throughput Bragg-spot analyzer (cctbx.spotfinder) that is presently in use at numerous synchrotron-radiation beamlines. Similarly, Python interoperability enabled the production of a new data-reduction package (cctbx.xfel) for serial femtosecond crystallography experiments at the Linac Coherent Light Source (LCLS). Future data-reduction efforts will need to focus on specialized problems such as the treatment of diffraction spots on interleaved lattices arising from multi-crystal specimens. In these challenging cases, accurate modeling of close-lying Bragg spots could benefit from the high-performance computing capabilities of graphics-processing units.

Indexed as

Crystallography, X-RayData Interpretation, StatisticalLasersSoftwareAlgorithmsElectronic Data ProcessingElectronsHumansMuramidaseSynchrotronsMuramidasecctbxdata processingmultiprocessingreusable code

Identifiers

PMID23793153
PMCPMC3689530

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.