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Comparison · Analytics
glyanno vs pedprobr
A side-by-side editorial comparison of glyanno and pedprobr — release velocity, themes, recent moves, and the top alternatives to consider.
glyanno vs pedprobr: 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 pedprobr?
pedprobr is the likelihood engine, and it keeps finding ways to compute what it previously could not.
pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.
glyanno vs pedprobr: 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.
pedprobr
0.0ANALYTICS
pedprobr is the likelihood engine, and it keeps finding ways to compute what it previously could not.
◆ Current state
pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.
◆ Where it's heading
Every significant release here removes a class of computation that used to be infeasible, either by making a marker lumpable or by making a loop breakable. The rest is steady peeling-algorithm optimization, which has been reducing memory footprint release after release since 0.9.2. The newly added .diagnostics option suggests the peeling internals are now complex enough that the maintainer needs to inspect them.
◆ Prediction
Since special lumping is documented as covering only some cases so far, expect further lumping situations to be implemented as pedmut adds them.
Alternatives to glyanno and pedprobr
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 pedprobr.
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 pedprobr alternatives →
Recent activity from glyanno and pedprobr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agoglyannoDe novo reconstruction of topological N-glycans, with database fallback ⚡
- 1mo agopedprobrLoop handling updated for pedtools' new loop breakers
- 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()
- 1y agopedprobrCRAN example rounding fix
- 1y agopedprobrSpecial lumping for previously un-lumpable mutation models
- 1y agopedprobrGenotype distributions gain sparse and table output
- 2y agopedprobrPeeling order bug fix
- 2y agopedprobrPartial genotype fix for singletons
Frequently asked questions
What is the difference between glyanno and pedprobr?
They serve adjacent needs but don't currently overlap on shipped themes. 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 pedprobr?
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 pedprobr?
Top pedprobr alternatives in Analytics are ranked by recent ship velocity. Browse the "pedprobr alternatives" section above for the current picks, or visit /alternatives/pedprobr for the full list with editorial commentary on each.