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glyread vs ribd

A side-by-side editorial comparison of glyread and ribd — release velocity, themes, recent moves, and the top alternatives to consider.

glyread vs ribd: at a glance

Featureglyreadribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesglycomics, data import, bioconductor, breaking changesstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is glyread?

glyread now hands every importer's output straight to Bioconductor.

glyread is the import layer, converting output from pGlyco3, Byonic, GlycanFinder, GlyHunter, and pGlycoQuant into glycoverse objects. Version 0.12.0 changed what those objects are: every read_*() function now returns GlycomicSE or GlycoproteomicSE, and 0.12.1 raised the glyexp floor to 0.16.0 to match. Earlier releases in the window went to format handling, particularly multi-glycosite glycopeptides and linkage-specific derivatization presets.

Read the full glyread trajectory →

What is ribd?

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

Read the full ribd trajectory →

glyread vs ribd: editorial side-by-side

G
glyread
ANALYTICS
0.0

glyread now hands every importer's output straight to Bioconductor.

◆ Current state

glyread is the import layer, converting output from pGlyco3, Byonic, GlycanFinder, GlyHunter, and pGlycoQuant into glycoverse objects. Version 0.12.0 changed what those objects are: every read_*() function now returns GlycomicSE or GlycoproteomicSE, and 0.12.1 raised the glyexp floor to 0.16.0 to match. Earlier releases in the window went to format handling, particularly multi-glycosite glycopeptides and linkage-specific derivatization presets.

◆ Where it's heading

As the stack's entry point, glyread absorbs container decisions first and hardest: because it constructs the objects everything downstream consumes, it had no compatibility path and simply switched return types. The other visible thread is coverage of upstream software, adding importers and presets as new search engines and protocols appear. Those two threads rarely interact.

◆ Prediction

Expect the next releases to return to importer coverage, adding formats or presets, now that the container question is settled at the source.

R
ribd
ANALYTICS
2.5

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

◆ Current state

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

◆ Where it's heading

The arc runs from generality to presentation to precision. Early releases replaced narrow functions with general ones, most visibly when gKinship() absorbed generalisedKinship() and identityCoefs() superseded the separate autosomal and X-chromosomal identity functions in favour of an Xchrom argument. The middle stretch turned the IBD triangle into a proper plotting surface across three graphics systems. The current phase reads as consolidation, with the newest release listing six bug fixes against four features, several of them alignment errors in output tables, which is where a coefficient library most needs to be exactly right.

◆ Prediction

The two new internal functions in the latest release, inbreedingContributions() and ancestralKinship(), are the kind of thing that surfaces publicly a release or two later, so expect them to become exported decomposition tools. The correctness push through pedigree lists and edge cases suggests the near-term focus stays on hardening rather than new coefficient families.

Alternatives to glyread and ribd

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 glyread or ribd.

See all glyread alternatives → · See all ribd alternatives →

Recent activity from glyread and ribd

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 12d agoribdCustom relationships on the IBD triangle; six alignment and edge-case fixes
  2. 1mo agoglyreadMinimum glyexp version raised to 0.16.0
  3. 1mo agoglyreadAll read_*() functions return SummarizedExperiment objects
  4. 3mo agoglyreadMulti-glycosite glycopeptides get an expand-or-drop option
  5. 3mo agoglyreadread_glyhunter() gains a derivatization preset
  6. 4mo agoglyreadglyread 0.9.2
  7. 6mo agoglyreadDependency strategy update
  8. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  9. 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
  10. 3y agoribdTriangle line clipping, automatic plot margins, citation info
  11. 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
  12. 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument

Frequently asked questions

What is the difference between glyread and ribd?

They serve adjacent needs but don't currently overlap on shipped themes. ribd is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 glyread better than ribd?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ribd is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 glyread?

Top glyread alternatives in Analytics are ranked by recent ship velocity. Browse the "glyread alternatives" section above for the current picks, or visit /alternatives/glyread for the full list with editorial commentary on each.

What are the best alternatives to ribd?

Top ribd alternatives in Analytics are ranked by recent ship velocity. Browse the "ribd alternatives" section above for the current picks, or visit /alternatives/ribd for the full list with editorial commentary on each.