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ibdsim2 vs qqman

A side-by-side editorial comparison of ibdsim2 and qqman — release velocity, themes, recent moves, and the top alternatives to consider.

ibdsim2 vs qqman: at a glance

Featureibdsim2qqman
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesstatistical-genetics, pedigree-analysis, simulation, r-packagesgwas, genomics, manhattan-plot, visualization
Last editorial update50m ago14h ago
WebsiteVisit →Visit →

What is ibdsim2?

A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.

ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.

Read the full ibdsim2 trajectory →

What is qqman?

The Manhattan-plot package for GWAS results, finished and dormant since 2017.

qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.

Read the full qqman trajectory →

ibdsim2 vs qqman: editorial side-by-side

I
ibdsim2
ANALYTICS
2.5

A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.

◆ Current state

ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.

◆ Where it's heading

Two long-running threads. One is the app as a first-class part of the package, which has been getting input validation, dependency checks and plotting fixes release after release, treating a research GUI as software to be maintained rather than a demo. The other is numerical care: the built-in recombination map was rebuilt in 2.3.0 with better chromosome endpoints and a thinning algorithm that cut it from about 38,000 points to 14,000 without losing accuracy, and IBD segment merging has been made consistent across the realised-coefficient functions. The maintainer flags repeatedly that seeded results may differ across versions, which is the right disclosure for a simulator used in published analyses.

◆ Prediction

The recent work points at further speed on dense panels and continued hardening of app input handling, both of which have appeared in each of the last several releases. Nothing here signals a new modelling capability on the way.

Q
qqman
ANALYTICS
0.0

The Manhattan-plot package for GWAS results, finished and dormant since 2017.

◆ Current state

qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.

◆ Where it's heading

The real development window was 2014 to 2015. The 0.1.2 release did the substantive work, replacing the assumption that SNPs are evenly distributed across chromosomes and handing users control of axis limits, labels and log transformation; 0.1.3 then added annotation by p-value threshold and top-SNP-per-chromosome. After that the package stops. Notably, the archival 0.0.0 entry records that the original script had confidence intervals on QQ plots and richer highlighting than the released package ever regained.

◆ Prediction

With one packaging fix in the last decade, these entries support no prediction of further releases. The package reads as complete for its narrow purpose rather than abandoned mid-arc.

Alternatives to ibdsim2 and qqman

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 ibdsim2 or qqman.

See all ibdsim2 alternatives → · See all qqman alternatives →

Recent activity from ibdsim2 and qqman

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

  1. 11d agoibdsim2profileSimIBD() sped up for dense marker panels; segment merging fixed
  2. 8mo agoibdsim2Segment-distribution merge argument, and function-valued parameters
  3. 1y agoibdsim2Built-in decode19 recombination map rebuilt, cutting 38k points to 14k
  4. 1y agoibdsim2Consistent IBD segment merging across the realised-coefficient functions
  5. 1y agoibdsim2Built-in pedigree labels revised; extra inbred examples added
  6. 1y agoibdsim2The Shiny front end moves into the package and gains X-chromosomal simulation
  7. 9y agoqqmanREADME image path fix for pandoc
  8. 11y agoqqmanAnnotate SNPs by p-value threshold or per-chromosome top hit
  9. 11y agoqqmanChromosome ticks stop assuming even SNP spacing; axis control opens up
  10. 12y agoqqmanArchival tag for the pre-package standalone script
  11. 12y agoqqmanVignette touch-up
  12. 12y agoqqmanZenodo archival tag, no code change

Frequently asked questions

What is the difference between ibdsim2 and qqman?

They serve adjacent needs but don't currently overlap on shipped themes. ibdsim2 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 ibdsim2 better than qqman?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ibdsim2 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 ibdsim2?

Top ibdsim2 alternatives in Analytics are ranked by recent ship velocity. Browse the "ibdsim2 alternatives" section above for the current picks, or visit /alternatives/ibdsim2 for the full list with editorial commentary on each.

What are the best alternatives to qqman?

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