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      PIXiE: an algorithm for automated ion mobility arrival time extraction and collision cross section calculation using global data association

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          Abstract

          Motivation: Drift tube ion mobility spectrometry coupled with mass spectrometry (DTIMS-MS) is increasingly implemented in high throughput omics workflows, and new informatics approaches are necessary for processing the associated data. To automatically extract arrival times for molecules measured by DTIMS at multiple electric fields and compute their associated collisional cross sections (CCS), we created the PNNL Ion Mobility Cross Section Extractor (PIXiE). The primary application presented for this algorithm is the extraction of data that can then be used to create a reference library of experimental CCS values for use in high throughput omics analyses.

          Results: We demonstrate the utility of this approach by automatically extracting arrival times and calculating the associated CCSs for a set of endogenous metabolites and xenobiotics. The PIXiE-generated CCS values were within error of those calculated using commercially available instrument vendor software.

          Availability and implementation: PIXiE is an open-source tool, freely available on Github. The documentation, source code of the software, and a GUI can be found at https://github.com/PNNL-Comp-Mass-Spec/PIXiE and the source code of the backend workflow library used by PIXiE can be found at https://github.com/PNNL-Comp-Mass-Spec/IMS-Informed-Library.

          Contact: erin.baker@ 123456pnnl.gov or thomas.metz@ 123456pnnl.gov

          Supplementary information: Supplementary data are available at Bioinformatics online.

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          Most cited references23

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          DAnTE: a statistical tool for quantitative analysis of -omics data.

          Data Analysis Tool Extension (DAnTE) is a statistical tool designed to address challenges associated with quantitative bottom-up, shotgun proteomics data. This tool has also been demonstrated for microarray data and can easily be extended to other high-throughput data types. DAnTE features selected normalization methods, missing value imputation algorithms, peptide-to-protein rollup methods, an extensive array of plotting functions and a comprehensive hypothesis-testing scheme that can handle unbalanced data and random effects. The graphical user interface (GUI) is designed to be very intuitive and user friendly. DAnTE may be downloaded free of charge at http://omics.pnl.gov/software/. An example dataset with instructions on how to perform a series of analysis steps is available at http://omics.pnl.gov/software/
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            Multiple Object Tracking Using K-Shortest Paths Optimization.

            Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previous and following ones, a correct trajectory will nevertheless be produced. By contrast, a false-positive detection in a few frames will be ignored. However, when dealing with a multiple target problem, the linking step results in a difficult optimization problem in the space of all possible families of trajectories. This is usually dealt with by sampling or greedy search based on variants of Dynamic Programming which can easily miss the global optimum. In this paper, we show that reformulating that step as a constrained flow optimization results in a convex problem. We take advantage of its particular structure to solve it using the k-shortest paths algorithm, which is very fast. This new approach is far simpler formally and algorithmically than existing techniques and lets us demonstrate excellent performance in two very different contexts.
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              Quantitative analysis of urine vapor and breath by gas-liquid partition chromatography.

              When a human being is placed for several days on a completely defined diet, consisting almost entirely of small molecules that are absorbed from the stomach into the blood, intestinal flora disappear because of lack of nutrition. By this technique, the composition of body fluids can be made constant (standard deviation about 10%) after a few days, permitting significant quantitative analyses to be performed. A method of temperature-programmed gas-liquid partition chromatography has been developed for this purpose. It permits the quantitative determination of about 250 substances in a sample of breath, and of about 280 substances in a sample of urine vapor. The technique should be useful in the application of the principles of orthomolecular medicine.
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                Author and article information

                Journal
                Bioinformatics
                Bioinformatics
                bioinformatics
                Bioinformatics
                Oxford University Press
                1367-4803
                1367-4811
                01 September 2017
                15 May 2017
                15 May 2017
                : 33
                : 17
                : 2715-2722
                Affiliations
                [1 ]Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
                [2 ]Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 93771, USA
                Author notes
                [* ]To whom correspondence should be addressed.
                [*]

                Associate Editor: Jonathan Wren

                Article
                btx305
                10.1093/bioinformatics/btx305
                5860068
                28505286
                3bbbc196-d572-4f2f-84bd-3635e8891a4e
                © The Author 2017. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 December 2016
                : 02 May 2017
                : 12 May 2017
                Page count
                Pages: 8
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Funded by: National Institute of Environmental Health Sciences 10.13039/100000066
                Funded by: Laboratory Directed Research and Development 10.13039/100007000
                Funded by: LDRD 10.13039/100007000
                Funded by: U.S. Department of Energy 10.13039/100000015
                Funded by: DOE 10.13039/100000015
                Funded by: DOE 10.13039/100000015
                Award ID: DE-AC05-76RLO 1830
                Categories
                Original Papers
                Data and Text Mining

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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