simple utility for parsing and working with NMR peak tables, including ROC analysis
Project description
nmrtoolbox
Introduction
This is a simple utility that provides modules for working with NMRPipe peak tables and performing a receiver operator characteristic (ROC) analysis to quantify the quality of the "recovered" peaks relative to a control set of "injected" peaks. The modules in this package are as follows:
nmrtoolbox.peak
: classes for reading in peak tables (currently supports both synthetically generated and recovered peak tables from NMRPipe)nmrtoolbox.roc
: perform receiver operator characteristic (ROC) analysis of a recovered peak table relative to an injected peak tablenmrtoolbox.mask
: define regions of a spectrum that contain signal or are emptynmrtoolbox.util
: various supporting utilities used by other modules
Applications
Example #1 - Formal Workflow
The tools in this package are utilized by the NUScon software package. You can access NUScon on the NMRbox platform (free for academic, government, and non-profit users). Running nuscon -h
will provide instructions on how to run the NUScon evaluation workflow, which directly utilizes the tools presented here in the nmrtoolbox
package.
Example #2 - Kick the Tires
from nmrtoolbox.roc import roc
# perform ROC analysis and specify filtering criteria for
# cluster_type and chi2prob
my_roc = roc(
recovered_table=<file-recovered.tab>,
injected_table=<file-injected.tab>,
cluster_type=1,
chi2prob=.75,
)
# show and plot results
my_roc.print_stats()
my_roc.plot_roc()
my_roc.plot_peaks()
my_roc.plot_outliers()
The roc function supports the following filter criteria:
number
height
abs_height
roi_list
index
cluster_type
mask_file
chi2prob
Note: Filtering by mask
requires the external use of NMRPipe to generate a mask file indicating where the spectrum is empty. This binary data is converted by Connjur Spectrum Translator into a "tabular" format file (i.e. plain text) which is then read in by nmrtoolbox.mask
.
Changelog
v8
- change to MIT license
- box_radius for mask filtering is multidimensional
- improved input options for setting carrier frequency
- axis labels used to verify compatibility of Peak and Mask objects
v7
- addition of
roc
module - addition of
mask
module
v6
- rename package as
nmrtoolbox
- use subclasses to handle NMRPipe peak tables coming from genSimTab or from the peak picker
v5
- new Axis class for containing metadata from peak table header
Project details
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