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Comparison · Analytics
glyanno vs glyclean
A side-by-side editorial comparison of glyanno and glyclean — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:glycomics
glyanno vs glyclean: 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 glyclean?
glyclean stopped trusting QC samples to choose its preprocessing strategy.
glyclean handles preprocessing and QC for glycomics and glycoproteomics data: filtering, imputation, normalization, batch correction, and compositional transforms. The defining change in this window is 0.14.0, which abandoned QC coefficient-of-variation heuristics for choosing imputation and normalization methods in favor of rules keyed to sample size. The 0.15.x releases then finished removing the deprecated QC arguments and moved the whole package onto glyexp's SummarizedExperiment containers.
glyanno vs glyclean: 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.
glyclean
0.0ANALYTICS
glyclean stopped trusting QC samples to choose its preprocessing strategy.
◆ Current state
glyclean handles preprocessing and QC for glycomics and glycoproteomics data: filtering, imputation, normalization, batch correction, and compositional transforms. The defining change in this window is 0.14.0, which abandoned QC coefficient-of-variation heuristics for choosing imputation and normalization methods in favor of rules keyed to sample size. The 0.15.x releases then finished removing the deprecated QC arguments and moved the whole package onto glyexp's SummarizedExperiment containers.
◆ Where it's heading
Two commitments are visible. First, defaults should be defensible rather than adaptive: the maintainer explicitly judged CV-in-QC-samples not robust and replaced it with sample-size thresholds. Second, the package wants containers, not matrices, and 0.15.0 makes bare matrix inputs an error. Dependency pruning runs alongside both, with imputeLCMD reimplemented away so auto_clean() works out of the box.
◆ Prediction
The compositional data thread is the least finished part of the package, so further CoDA methods or a broader auto_coda() are the likeliest next additions.
Alternatives to glyanno and glyclean
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 glyclean.
spsurvey
spsurvey has spent four years consolidating after its 5.0.0 rewrite rather than adding to it
StreamCatTools
StreamCatTools is quietly moving off web services and onto cloud-native GeoParquet
reproducible
reproducible added a windowed read path so remote GeoTiffs never fully download
qcTAF
qcTAF is building an automated checklist for reproducible fisheries assessments, one criterion at a time
rpymat
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
See all glyanno alternatives → · See all glyclean alternatives →
Recent activity from glyanno and glyclean
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agoglyannoDe novo reconstruction of topological N-glycans, with database fallback ⚡
- 1mo agoglycleanDocs recommend the new SE containers
- 1mo agoglycleanPreprocessing behaves the same across both containers
- 1mo agoglycleanMatrix inputs rejected; containers now required
- 3mo agoglycleanauto_clean() works without extra package installs
- 3mo agoglycleanImputation strategy now keyed to sample size, not QC
- 3mo agoglyannoGlyTouCan accession mapping and anomeric position filling
- 3mo agoglyannoFixes an enhance_struc() break from glyrepr 0.11.0
- 4mo agoglycleanCoDA transforms aligned with published methods
- 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 glyclean?
Both compete on the same themes — glycomics — within Analytics. glyanno is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is glyanno better than glyclean?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glyanno is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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 glyclean?
Top glyclean alternatives in Analytics are ranked by recent ship velocity. Browse the "glyclean alternatives" section above for the current picks, or visit /alternatives/glyclean for the full list with editorial commentary on each.