Evidence map›Paper›PMID 40841174›Full record

ArticleGenome research2025

Pangenome-based genome inference using integer programming.

Ghanshyam Chandra, Md Helal Hossen, Stephan Scholz, Alexander T Dilthey, Daniel Gibney, Chirag Jain

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ghanshyam ChandraDepartment of Computational and Data Sciences, Indian Institute of Science, Bangalore, Karnataka 560012, India.
Md Helal HossenDepartment of Computer Science, The University of Texas at Dallas, Dallas, Texas 75080, USA.
Stephan ScholzInstitute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
Alexander T DiltheyInstitute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
Daniel GibneyDepartment of Computer Science, The University of Texas at Dallas, Dallas, Texas 75080, USA.
Chirag JainDepartment of Computational and Data Sciences, Indian Institute of Science, Bangalore, Karnataka 560012, India; chirag@iisc.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affordable genotyping methods are essential in genomics. Commonly used genotyping methods primarily support single-nucleotide variants and short indels but neglect structural variants. Additionally, accuracy of read alignments to a reference genome is unreliable in highly polymorphic and repetitive regions, further impacting genotyping performance. Recent works highlight the advantage of pangenome graphs in addressing these challenges. Building on these developments, we propose a rigorous alignment-free genotyping method. Our optimization framework identifies a path through the pangenome graph that maximizes the matches between the path and substrings of sequencing reads (e.g.,

Indexed as

Genome, HumanGenomicsGenotyping TechniquesAlgorithmsHaplotypesHumansMajor Histocompatibility ComplexPolymorphism, Single NucleotideSequence Analysis, DNASoftware

Identifiers

PMID40841174
PMCPMC12667385

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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.