Evidence map›Paper›PMID 42239166›Full record

ArticlebioRxiv : the preprint server for biology2026

ZipStrain Enables Rapid and Precise Strain-Resolved Metagenomics.

Parsa Ghadermazi, Joanne B Emerson, Matthew R Olm

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Parsa GhadermaziDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.ORCID 0009-0005-4112-2105
Joanne B EmersonDepartment of Plant Pathology, University of California, Davis, Davis, CA, USA.
Matthew R OlmDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0001-5540-350X

Funding

Establishing laboratory methods for quantitative recovery of diverse DNA and RNA viral sequences from human biosamplesU01DE034198 · NIDCR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Joanne Emerson · 2024 to 2026
$2.1M
NIDCR NIH HHS U01 DE034198
6 · The paper itself

Abstract

Strain-resolved metagenomics characterizes microbial communities at nucleotide-level resolution, enabling researchers to differentiate identical from closely related organisms and characterize population structure and gene content variation. Here we introduce ZipStrain, a program that performs highly accurate strain-resolved metagenomics over 500× faster than available methods while offering superior RAM management. Applied to a dataset of 2,754 samples spanning human populations, we identify a strain-sharing gradient across social relationships, reveal striking variation in clonal structure across bacteria and bacteriophage, and pinpoint genes whose nucleotide identity deviates from genome-wide expectations. ZipStrain is distributed as an open-source Python package and accompanying Nextflow pipeline at https://github.com/OlmLab/ZipStrain.

Indexed as

bioinformaticsgut microbiomemetagenomics softwaremicrobial transmissionpopulation genomicsstrain-resolved metagenomics

Identifiers

PMID42239166
PMCPMC13228292

What Socratic 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 Socratic graph.