Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A variant selection framework for genome graphs.

Bioinformatics (Oxford, England) - 12 Jul 2021

Jain Chirag, Tavakoli Neda, Aluru Srinivas

Abstract excerpt

MOTIVATION: Variation graph representations are projected to either replace or supplement conventional single genome references due to their ability to capture population genetic diversity and reduce reference bias. Vast catalogues of genetic variants for many species now exist, and it is natural to ask which among these are crucial to circumvent reference bias during read mapping. RESULTS: In this work, we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Genome
Share to Genome, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 34252945
DOI: 10.1093/bioinformatics/btab302
PMCID: PMC8336592

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A variant selection framework for genome graphs.PMID 34252945Read ↗

A variant selection framework for genome graphsSemantic proximity Read ↗

Genome GraphsSemantic proximity Read ↗

Genome Graphs and the Evolution of Genome InferenceSemantic proximity Read ↗

Fast and Accurate Genomic Analyses using Genome GraphsSemantic proximity Read ↗

Population-specific genome graphs improve high-throughput sequencing data analysis: A case study on the Pan-African genomeSemantic proximity Read ↗

GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants.Semantic proximity Read ↗

Sequence variation aware genome references and read mapping with the variation graph toolkitSemantic proximity Read ↗

Fast alignment of reads to a variation graph with application to SNP detection.Semantic proximity Read ↗

SVJedi-graph: improving the genotyping of close and overlapping structural variants with long reads using a variation graph.Semantic proximity Read ↗

Genotype Representation Graphs: Enabling Efficient Analysis of Biobank-Scale DataSemantic proximity Read ↗

The Great Genotyper: A Graph-Based Method for Population Genotyping of Small and Structural VariantsSemantic proximity Read ↗

NovoGraph: Human genome graph construction from multiple long-read de novo assembliesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.