Evidence map›Paper›PMID 31352182›Full record

ArticleiScience2019

MALVA: Genotyping by Mapping-free ALlele Detection of Known VAriants.

Luca Denti, Marco Previtali, Giulia Bernardini, Alexander Schönhuth, Paola Bonizzoni

Abstract read
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  6. Effects of spaced k-mers on alignment-free genotyping.Bioinformatics (Oxford, England) · 2023
    Article
  7. Pangenomic genotyping with the marker array.Algorithms for molecular biology : AMB · 2023
    Article
  8. Article
  9. Article
  10. Pangenomic Genotyping with the Marker Array.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2022
    Article
  11. Article
  12. Article
  13. The Statistics ofJournal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  14. Article
  15. Disk compression of k-mer sets.Algorithms for molecular biology : AMB · 2021
    Article
  16. Article
  17. Shark: fishing relevant reads in an RNA-Seq sample.Bioinformatics (Oxford, England) · 2021
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Luca DentiDepartment of Computer Sciences, Systems and Communications, University of Milan-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milan, Italy.
Marco PrevitaliDepartment of Computer Sciences, Systems and Communications, University of Milan-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milan, Italy. Electronic address: marco.previtali@unimib.it.
Giulia BernardiniDepartment of Computer Sciences, Systems and Communications, University of Milan-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milan, Italy.
Alexander SchönhuthCentrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
Paola BonizzoniDepartment of Computer Sciences, Systems and Communications, University of Milan-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amount of genetic variation discovered in human populations is growing rapidly leading to challenging computational tasks, such as variant calling. Standard methods for addressing this problem include read mapping, a computationally expensive procedure; thus, mapping-free tools have been proposed in recent years. These tools focus on isolated, biallelic SNPs, providing limited support for multi-allelic SNPs and short insertions and deletions of nucleotides (indels). Here we introduce MALVA, a mapping-free method to genotype an individual from a sample of reads. MALVA is the first mapping-free tool able to genotype multi-allelic SNPs and indels, even in high-density genomic regions, and to effectively handle a huge number of variants. MALVA requires one order of magnitude less time to genotype a donor than alignment-based pipelines, providing similar accuracy. Remarkably, on indels, MALVA provides even better results than the most widely adopted variant discovery tools.

Indexed as

BioinformaticsBiological SciencesGeneticsGenomics

Identifiers

PMID31352182
PMCPMC6664100

What OpenQuestion holds

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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.