Evidence map›Paper›PMID 29151216›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Practical Nonuniform Sampling and Non-Fourier Spectral Reconstruction for Multidimensional NMR.

Mark W Maciejewski, Adam D Schuyler, Jeffrey C Hoch

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
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

3 authors.

Mark W MaciejewskiDepartment of Molecular Biology and Biophysics, UConn Health, 263 Farmington Ave., Farmington, CT, 06030-3305, USA.
Adam D SchuylerDepartment of Molecular Biology and Biophysics, UConn Health, 263 Farmington Ave., Farmington, CT, 06030-3305, USA.
Jeffrey C HochDepartment of Molecular Biology and Biophysics, UConn Health, 263 Farmington Ave., Farmington, CT, 06030-3305, USA. hoch@uchc.edu.

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
Maximum Entropy Deconvolution for Resolution & Sensitivity Enhancement in Bio-NMRR21GM104517 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2013 to 2014
$437k
NIGMS NIH HHS P41 GM111135NIGMS NIH HHS R21 GM104517
6 · The paper itself

Abstract

A general approach to accelerating multidimensional NMR experiments via nonuniform sampling and maximum entropy spectral reconstruction was first demonstrated by Laue and colleagues in 1987. Following decades of continual improvements involving dozens of software packages for non-Fourier spectral analysis and many different schemes for nonuniform sampling, we still lack a clear consensus on best practices for sampling or spectral reconstruction, and programs for processing nonuniformly sampled data are not particularly user-friendly. Nevertheless, it is possible to discern conservative and general guidelines for nonuniform sampling and spectral reconstruction. Here, we describe a robust semi-automated workflow that employs these guidelines for simplifying the selection of a sampling schedule and the processing of the resulting nonuniformly sampled multidimensional NMR data. Our approach is based on NMRbox, a shared platform for NMR software that facilitates workflow development and execution, and enables rapid comparison of alternate approaches.

Indexed as

SoftwareMagnetic Resonance SpectroscopySpecimen HandlingWorkflowMaximum entropy reconstruction (MaxEnt)MultidimensionalNMRNonuniform samplingNus-toolSpectral reconstruction

Identifiers

PMID29151216
PMCPMC6350247

What OpenQuestion holds

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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.