Evidence map›Paper›PMID 37461107›Full record

ArticleGenome biology2023

MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads.

Markus Schmidt, Arne Kutzner

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Markus SchmidtBiomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität, Großhaderner Str. 9, 82152, Planegg-Martinsried, Germany.
Arne KutznerDepartment of Information Systems, College of Engineering, Hanyang University, 222 Wangsimni-Ro, Seongdong-Gu, Seoul, 133-791, Republic of Korea. kutzner@hanyang.ac.kr.ORCID 0000-0001-5061-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variant (SV) calling belongs to the standard tools of modern bioinformatics for identifying and describing alterations in genomes. Initially, this work presents several complex genomic rearrangements that reveal conceptual ambiguities inherent to the representation via basic SV. We contextualize these ambiguities theoretically as well as practically and propose a graph-based approach for resolving them. For various yeast genomes, we practically compute adjacency matrices of our graph model and demonstrate that they provide highly accurate descriptions of one genome in terms of another. An open-source prototype implementation of our approach is available under the MIT license at https://github.com/ITBE-Lab/MA .

Indexed as

GenomicsSoftwareComputational BiologyGenomeHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAlignmentAmbiguityComplex SVMEMsNested SVPan-genomesSeeds

Identifiers

PMID37461107
PMCPMC10351204

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.