ReviewGenome research2017
Genome graphs and the evolution of genome inference.
Review in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.
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.
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.
Who cites it
179 citing papers in PubMed.
- An Icelandic pangenome reference.Nature · 2026Article
- Structural Variant benchmarking frameworks: Parameterization, matching logic, and evaluation assumptions presented through HG002 and NA12878.PLoS computational biology · 2026Article
- Active Human Transposable Elements: Long-Read Sequencing Technologies, Computational Analysis, and Implications for Human Disease.Biomolecules · 2026Review
- Telomere-to-telomere genome assembly and a pangenome for the rat.Cell genomics · 2026Article
- Pan-SSR architecture in Acrossocheilus fasciatus links cross-assembly repeat conservation, repeat-unit count variation, and genomic context.Molecular genetics and genomics : MGG · 2026Article
- Article
- Rare disease genomics in an era of human pangenomics and telomere-to-telomere genome references.European journal of human genetics : EJHG · 2026Review
- Investigating the mobility and host range of mobile genetic elements harbouring antimicrobial resistance genes in enterococci.Microbiology (Reading, England) · 2026Article
- Building and applying pangenome references to capture genetic diversity.Nature reviews. Genetics · 2026Review
- Lossless pangenome indexing using tag arrays.Algorithms for molecular biology : AMB · 2026Article
- Lancet2: Improved and accelerated somatic variant calling with joint multi-sample local assembly graphs.NAR genomics and bioinformatics · 2026Article
- Pattern matching with Elastic-Degenerate strings and Elastic-Founder graphs.Algorithms for molecular biology : AMB · 2026Article
- The pangenome ofiScience · 2026Article
- From structural pangenomes to functional panomics in plants.Molecular biology and evolution · 2026Review
- Evolution and Comparative Analysis of Sheep Reference Genomes: From Fragmented Assemblies to Telomere-to-Telomere Genomics.Biology · 2026Review
- Review
- Strain-level metagenomic profiling using pangenome graphs with PanTax.Genome research · 2026Article
- Lossless Pangenome Indexing Using Tag Arrays.Research square · 2026Article
- Article
- Genomic epidemiology and phylogenomics ofFrontiers in cellular and infection microbiology · 2026Article
119 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The human reference genome is part of the foundation of modern human biology and a monumental scientific achievement. However, because it excludes a great deal of common human variation, it introduces a pervasive reference bias into the field of human genomics. To reduce this bias, it makes sense to draw on representative collections of human genomes, brought together into reference cohorts. There are a number of techniques to represent and organize data gleaned from these cohorts, many using ideas implicitly or explicitly borrowed from graph-based models. Here, we survey various projects underway to build and apply these graph-based structures-which we collectively refer to as genome graphs-and discuss the improvements in read mapping, variant calling, and haplotype determination that genome graphs are expected to produce.
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Registered trials
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.