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Source Transformation01:15

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glypy: An Open Source Glycoinformatics Library.

Joshua Klein1, Joseph Zaia1,2

  • 1Program for Bioinformatics , Boston University , Boston , Massachusetts 02215 , United States.

Journal of Proteome Research
|July 17, 2019
PubMed
Summary
This summary is machine-generated.

Glycoinformatics software is limited, hindering glycobiology research. The new Python library, glypy, offers tools for glycan data manipulation and integration with major databases, promoting standardization.

Keywords:
Pythonglycomicssoftware libraries

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Area of Science:

  • Glycoscience
  • Computational Biology
  • Bioinformatics

Background:

  • Glycobiology is crucial for understanding cellular interactions.
  • Limited software tools in glycoinformatics hinder research progress and standardization.
  • Scientists often recreate fundamental data structures, reducing efficiency.

Purpose of the Study:

  • To introduce glypy, a Python library for glycan data.
  • To facilitate reading, writing, manipulation, and transformation of glycan data.
  • To improve integration with existing glycoinformatics resources.

Main Methods:

  • Development of a Python library named glypy.
  • Implementation of functionalities for glycan data processing.
  • Integration with community databases like GlyTouCan and UnicarbKB via APIs.

Main Results:

  • glypy supports reading, writing, and transforming glycans.
  • The library interfaces with major glycan databases.
  • It offers multiple levels of precision for glycan representation.

Conclusions:

  • glypy addresses the need for accessible glycoinformatics tools.
  • The library promotes standardization and efficiency in glycobiology research.
  • It is freely available with open-source code and documentation.