Evidence map›Paper›PMID 37563669›Full record

SynthesisGenome biology2023

Maast: genotyping thousands of microbial strains efficiently.

Zhou Jason Shi, Stephen Nayfach, Katherine S Pollard

Abstract readMeta-Analysis
In one paragraph

Synthesis in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Microbiota effects and predictors ofmedRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Molecular Genomic Analyses ofMicroorganisms · 2024
    Article
  9. 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

3 authors.

Zhou Jason ShiChan Zuckerberg Biohub, San Francisco, CA, USA.
Stephen NayfachJoint Genome Institute, Department of Energy, Walnut Creek, CA, USA.
Katherine S PollardChan Zuckerberg Biohub, San Francisco, CA, USA. kpollard@gladstone.ucsf.edu.ORCID http://orcid.org/0000-0002-9870-6196

Funding

Linking microbiome genetic variants with cardiovascular phenotypes in 50,000 individualsR01HL160862 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI POLLARD, KATHERINE S. · 2022 to 2025
$2.7M
NHLBI NIH HHS R01 HL160862
6 · The paper itself

Abstract

Existing single nucleotide polymorphism (SNP) genotyping algorithms do not scale for species with thousands of sequenced strains, nor do they account for conspecific redundancy. Here we present a bioinformatics tool, Maast, which empowers population genetic meta-analysis of microbes at an unrivaled scale. Maast implements a novel algorithm to heuristically identify a minimal set of diverse conspecific genomes, then constructs a reliable SNP panel for each species, and enables rapid and accurate genotyping using a hybrid of whole-genome alignment and k-mer exact matching. We demonstrate Maast's utility by genotyping thousands of Helicobacter pylori strains and tracking SARS-CoV-2 diversification.

Indexed as

COVID-19SARS-CoV-2AlgorithmsGenomeGenotypeGenotyping TechniquesHumansPolymorphism, Single Nucleotide

Identifiers

PMID37563669
PMCPMC10416524

What OpenQuestion holds

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LicenceCC BY
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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.