glyvis
glyvis keeps losing plot functions as the packages behind them get reorganized.
Comparison · Analytics
glyanno vs glyenzy
A side-by-side editorial comparison of glyanno and glyenzy — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:glycomicsr-packages
glyanno vs glyenzy: at a glance
What is glyanno?
Glycan annotation stops depending on the database having seen the structure before.
glyanno resolves mass spectrometry observations into glycan compositions and structures, converting between m/z, composition and structure, filling in missing detail on partial structures, and mapping results to GlyTouCan accessions. The newest release adds de novo reconstruction of topological N-glycans, falling back to the topological database only when reconstruction is not possible. Batch performance was reworked at the same time, with vector inputs reusing prepared databases and direct lookups instead of repeating setup per element.
What is glyenzy?
Glycan biosynthesis as a traceable enzyme graph, now including sulfation and gaps it can bridge.
glyenzy infers which enzymes could have produced a glycan and traces biosynthetic routes to it, backed by curated per-enzyme rules for human glycosyltransferases and, since 0.7.0, twelve sulfotransferases. Biosynthesis functions return typed network objects that keep their igraph interface while supporting layered DAG plots with glycan nodes and labelled enzyme edges. Where no concrete enzyme covers a step, bounded virtual transitions bridge the gap and are marked so users can see which edges are inferred rather than enzymatic.
glyanno vs glyenzy: editorial side-by-side
glyanno
3.8ANALYTICS
Glycan annotation stops depending on the database having seen the structure before.
◆ Current state
glyanno resolves mass spectrometry observations into glycan compositions and structures, converting between m/z, composition and structure, filling in missing detail on partial structures, and mapping results to GlyTouCan accessions. The newest release adds de novo reconstruction of topological N-glycans, falling back to the topological database only when reconstruction is not possible. Batch performance was reworked at the same time, with vector inputs reusing prepared databases and direct lookups instead of repeating setup per element.
◆ Where it's heading
The consistent theme is making ambiguous results honest and predictable. return_best moved from returning a shortened tibble to a vector aligned with the input, with NA for unmatched glycans; matching concrete compositions against a generic database now errors instead of silently returning nothing; zero-length database arguments are rejected. Alongside that, functions belonging elsewhere have been pushed down into glyrepr rather than duplicated, which is the same boundary discipline visible across this cohort. Version churn is largely driven by upstream: two of the last six entries exist to absorb breaking changes in glyrepr.
◆ Prediction
De novo reconstruction currently covers topological N-glycans only, so extending it to other structure levels or to O-glycans is the natural next step. The performance work suggests batch annotation of full experiments is now the primary use being optimised for.
glyenzy
6.3ANALYTICS
Glycan biosynthesis as a traceable enzyme graph, now including sulfation and gaps it can bridge.
◆ Current state
glyenzy infers which enzymes could have produced a glycan and traces biosynthetic routes to it, backed by curated per-enzyme rules for human glycosyltransferases and, since 0.7.0, twelve sulfotransferases. Biosynthesis functions return typed network objects that keep their igraph interface while supporting layered DAG plots with glycan nodes and labelled enzyme edges. Where no concrete enzyme covers a step, bounded virtual transitions bridge the gap and are marked so users can see which edges are inferred rather than enzymatic.
◆ Where it's heading
Two kinds of release alternate here. One is enzyme curation, a steady stream of rule corrections for the FUT, MAN1A and MGAT families and removals where an enzyme turned out to act only on glycolipids, which is the unglamorous accuracy work a rule-based inference engine lives on. The other is turning biosynthesis output into a first-class object: paths became networks, networks became typed with plotting support, and targets became a marked vertex attribute. The package moves in lockstep with its siblings, pinning glyrepr 0.13.0 and glymotif 0.17.0 as those refreshed their data and matching APIs, and the latest release already speaks glydraw 0.8.0's orientation values.
◆ Prediction
The paucimannose N-glycan support dropped in 0.7.0 is the obvious loose end, with users told to stay on 0.6.3, so a reinstated implementation is a plausible next move. Beyond that the virtual-step machinery is new enough that its heuristics, particularly the inferred step limits added in 0.8.1, should keep being tuned.
Alternatives to glyanno and glyenzy
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either glyanno or glyenzy.
glysmith
glysmith turns an LLM interview into a reproducible glycomics analysis pipeline.
glyfun
glyfun is three releases old and has spent all of them chasing glyexp's container change.
glydet
glydet is rebuilding its glycan trait vocabulary on top of someone else's container.
glyexp
glyexp is retiring its own data container and handing the job to Bioconductor.
glymotif
A glycan motif matcher trading convenience wrappers for speed, strictness and explicit specs.
See all glyanno alternatives → · See all glyenzy alternatives →
Recent activity from glyanno and glyenzy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 14d agoglyenzyStep limits inferred from the target glycan; MGAT4 and MGAT5 rules updated
- 17d agoglyenzyBiosynthesis results become typed network objects with layered DAG plots
- 23d agoglyenzySulfotransferases become first-class, and unsupported steps can be bridged ⚡
- 24d agoglyannoDe novo reconstruction of topological N-glycans, with database fallback ⚡
- 1mo agoglyenzyCompatibility with glymotif 0.17.0 and later
- 1mo agoglyenzyEnzyme data refreshed against glyrepr 0.13.0 structure data
- 1mo agoglyenzyCorrected rules for the MAN1A1, MAN1A2 and MAN1C1 mannosidases
- 3mo agoglyannoGlyTouCan accession mapping and anomeric position filling
- 3mo agoglyannoFixes an enhance_struc() break from glyrepr 0.11.0
- 4mo agoglyannoExplicit empty return from com_to_struc()
- 4mo agoglyannoreturn_best output aligns with input length; silent empty matches now error
- 5mo agoglyannoto_level parameter removed from enhance_struc()
Frequently asked questions
What is the difference between glyanno and glyenzy?
Both compete on the same themes — glycomics, r-packages — within Analytics. glyenzy is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is glyanno better than glyenzy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glyenzy is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to glyanno?
Top glyanno alternatives in Analytics are ranked by recent ship velocity. Browse the "glyanno alternatives" section above for the current picks, or visit /alternatives/glyanno for the full list with editorial commentary on each.
What are the best alternatives to glyenzy?
Top glyenzy alternatives in Analytics are ranked by recent ship velocity. Browse the "glyenzy alternatives" section above for the current picks, or visit /alternatives/glyenzy for the full list with editorial commentary on each.