Evidence map›Paper›PMID 30558649›Full record

ArticleGenome biology2018

FORGe: prioritizing variants for graph genomes.

Jacob Pritt, Nae-Chyun Chen, Ben Langmead

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Movi 2: fast and space-efficient queries on pangenomes.Bioinformatics (Oxford, England) · 2026
    Article
  2. Review
  3. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  4. Article
  5. Article
  6. Movi 2: Fast and Space-Efficient Queries on Pangenomes.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Integer programming framework for pangenome-based genome inference.bioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Article
  15. A gentle introduction to pangenomics.Briefings in bioinformatics · 2024
    Review
  16. Article
  17. Measuring, visualizing and diagnosing reference bias with biastools.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Personalized Pangenome References.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jacob PrittDepartment of Computer Science, Johns Hopkins University, Baltimore, USA.
Nae-Chyun ChenDepartment of Computer Science, Johns Hopkins University, Baltimore, USA.
Ben LangmeadDepartment of Computer Science, Johns Hopkins University, Baltimore, USA. langmea@cs.jhu.edu.ORCID 0000-0003-2437-1976

Funding

Hardening and Scaling Core Genomics SoftwareR01GM118568 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2016 to 2020
$2.0M
NIGMS NIH HHS R01 GM118568NIGMS NIH HHS R01GM118568
6 · The paper itself

Abstract

There is growing interest in using genetic variants to augment the reference genome into a graph genome, with alternative sequences, to improve read alignment accuracy and reduce allelic bias. While adding a variant has the positive effect of removing an undesirable alignment score penalty, it also increases both the ambiguity of the reference genome and the cost of storing and querying the genome index. We introduce methods and a software tool called FORGe for modeling these effects and prioritizing variants accordingly. We show that FORGe enables a range of advantageous and measurable trade-offs between accuracy and computational overhead.

Indexed as

Genetic VariationModels, GeneticSequence AlignmentSoftwareGenome, HumanGenomicsHistocompatibility TestingHumans

Identifiers

PMID30558649
PMCPMC6296055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.