Preparing glycomics data for robust statistical analysis with GlyCompareCT

Summary: GlyCompareCT is a portable command-line tool to facilitate downstream glycomic data analyses, by addressing data inherent sparsity and non-independence. Inputting glycan abundances, users can run GlyCompareCT with one line of code to obtain the abundances of a minimal substructure set, name...

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Main Authors: Yujie Zhang, Sridevi Krishnan, Bokan Bao, Austin W.T. Chiang, James T. Sorrentino, Song-Min Schinn, Benjamin P. Kellman, Nathan E. Lewis
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266616672300120X
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author Yujie Zhang
Sridevi Krishnan
Bokan Bao
Austin W.T. Chiang
James T. Sorrentino
Song-Min Schinn
Benjamin P. Kellman
Nathan E. Lewis
author_facet Yujie Zhang
Sridevi Krishnan
Bokan Bao
Austin W.T. Chiang
James T. Sorrentino
Song-Min Schinn
Benjamin P. Kellman
Nathan E. Lewis
author_sort Yujie Zhang
collection DOAJ
description Summary: GlyCompareCT is a portable command-line tool to facilitate downstream glycomic data analyses, by addressing data inherent sparsity and non-independence. Inputting glycan abundances, users can run GlyCompareCT with one line of code to obtain the abundances of a minimal substructure set, named glycomotif, thereby quantifying hidden biosynthetic relationships between measured glycans. Optional parameters tuning and annotation are supported for personal preference.For complete details on the use and execution of this protocol, please refer to Bao et al. (2021).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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spelling doaj.art-0c1ce89d9d2a4bf49a6cf9e4522100a02023-03-15T04:29:03ZengElsevierSTAR Protocols2666-16672023-06-0142102162Preparing glycomics data for robust statistical analysis with GlyCompareCTYujie Zhang0Sridevi Krishnan1Bokan Bao2Austin W.T. Chiang3James T. Sorrentino4Song-Min Schinn5Benjamin P. Kellman6Nathan E. Lewis7Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USADepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Augment Biologics, 9450 SW Gemini Dr. #46664, Beaverton, OR 97008, USA; Corresponding authorDepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Corresponding authorSummary: GlyCompareCT is a portable command-line tool to facilitate downstream glycomic data analyses, by addressing data inherent sparsity and non-independence. Inputting glycan abundances, users can run GlyCompareCT with one line of code to obtain the abundances of a minimal substructure set, named glycomotif, thereby quantifying hidden biosynthetic relationships between measured glycans. Optional parameters tuning and annotation are supported for personal preference.For complete details on the use and execution of this protocol, please refer to Bao et al. (2021).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S266616672300120XBioinformaticsMolecular BiologySystems Biology
spellingShingle Yujie Zhang
Sridevi Krishnan
Bokan Bao
Austin W.T. Chiang
James T. Sorrentino
Song-Min Schinn
Benjamin P. Kellman
Nathan E. Lewis
Preparing glycomics data for robust statistical analysis with GlyCompareCT
STAR Protocols
Bioinformatics
Molecular Biology
Systems Biology
title Preparing glycomics data for robust statistical analysis with GlyCompareCT
title_full Preparing glycomics data for robust statistical analysis with GlyCompareCT
title_fullStr Preparing glycomics data for robust statistical analysis with GlyCompareCT
title_full_unstemmed Preparing glycomics data for robust statistical analysis with GlyCompareCT
title_short Preparing glycomics data for robust statistical analysis with GlyCompareCT
title_sort preparing glycomics data for robust statistical analysis with glycomparect
topic Bioinformatics
Molecular Biology
Systems Biology
url http://www.sciencedirect.com/science/article/pii/S266616672300120X
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