gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
glyanno vs pedmut
A side-by-side editorial comparison of glyanno and pedmut — release velocity, themes, recent moves, and the top alternatives to consider.
glyanno vs pedmut: 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 pedmut?
pedmut turns awkward mutation models into ones the likelihood engine can actually handle.
pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().
glyanno vs pedmut: 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.
pedmut
0.0ANALYTICS
pedmut turns awkward mutation models into ones the likelihood engine can actually handle.
◆ Current state
pedmut builds and transforms the mutation models used in pedigree likelihood calculations. Its recent arc is a toolkit of model transformations: makeReversible() with three methods, makeStationary() replacing the older stabilize(), adjustRate() for tuning overall mutation rate, and lumpMutSpecial() for lumping models that strong lumpability cannot handle. The most recent release is narrow, adding a programmatic output format to getParams().
◆ Where it's heading
The consistent goal is making models satisfy the mathematical properties downstream algorithms require. Reversibility, stationarity, and lumpability each unlock something in pedprobr, and the package keeps adding ways to coerce an arbitrary model into having them. lumpMutSpecial() is explicitly incomplete, described as covering only some cases with more possibly to follow, which sets up the main open thread.
◆ Prediction
Expect additional special lumping cases to be implemented, since the package documents the current coverage as partial and pedprobr's likelihood performance depends directly on it.
Alternatives to glyanno and pedmut
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 pedmut.
ducksemantics
ducksemantics puts an ontology graph and ColBERT retrieval inside DuckDB, callable from R.
dvir
dvir keeps making disaster victim identification a single call instead of a workflow.
pedbuildr
pedbuildr reconstructs pedigrees from DNA, and it just got much faster at the search.
forrel
forrel is getting faster at the simulations forensic kinship work actually spends its time on.
pedFamilias
pedFamilias exists to read one legacy file format, and it has that job nearly finished.
See all glyanno alternatives → · See all pedmut alternatives →
Recent activity from glyanno and pedmut
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agoglyannoDe novo reconstruction of topological N-glycans, with database fallback ⚡
- 2mo agopedmutgetParams() gains a programmatic output format
- 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 agopedmutSpecial lumping arrives for un-lumpable models
- 1y agopedmutReversibility transformations and rate adjustment
- 2y agopedmutMutation rate and boundedness diagnostics
- 3y agopedmutPM stabilisation and multi-lump strong lumpability
- 3y agopedmutlumpedModel() wrapper and lumping speedups
Frequently asked questions
What is the difference between glyanno and pedmut?
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 pedmut?
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 pedmut?
Top pedmut alternatives in Analytics are ranked by recent ship velocity. Browse the "pedmut alternatives" section above for the current picks, or visit /alternatives/pedmut for the full list with editorial commentary on each.