henhaobio
Sign in

Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article

Syntactic Sugars: Crafting a Regular Expression Framework for Glycan Structures

Alex BennettiD, Daniel BojariD

PDFDOIPreprintCode

Abstract

SummaryStructural analysis of glycans pose significant challenges in glycobiology due to their complex sequences. Research questions such as analyzing the sequence content of the 1-6 branch in N- glycans, are biologically meaningful yet can be hard to automate. Here, we introduce a regular expression system, designed for glycans, feature-complete, and closely aligned with regular expression formatting. We use this to annotate glycan motifs of arbitrary complexity, perform differential expression analysis on designated sequence stretches, or elucidate branch-specific binding specificities of lectins in an automated manner. We are confident that glycan regular expressions will empower computational analyses of these sequences. Availability and implementationOur regular expression framework for glycans is implemented in Python and is incorporated into the open-source glycowork package (version 1.1+). Code and documentation are available at https://github.com/BojarLab/glycowork/blob/master/glycowork/motif/regex.py. Contactdaniel.bojar@gu.se

Citations
4
FWCI
0.55
Field percentile
top 43%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISThomès '21Lundstrøm '23Thomès '25Bojar '20Hu '23Bojar '21
73% semantic matchBioinformatics
Luc Thomès, Rebekka Burkholz, Daniel Bojar·Glycobiology·Jun 25, 2021· 60 citations