Microsynteny is a powerful front for microbial strain tracking

Genomic diversity within species can be driven by both point mutations and larger structural variations, but so far, strain-tracking approaches have focused mostly on the former. In a recent issue of Nature Biotechnology, Ley and colleagues<sup>1</sup> introduce SynTracker, a tool designed for scalable strain tracking with microsynteny in low-coverage metagenomic settings.

Authors

Institutions

Publication Details

Journal
Cell Reports Methods
Published
2024-09-01
DOI
https://doi.org/10.1016/j.crmeth.2024.100862
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microsynteny is a powerful front for microbial strain tracking

Tal Korem, Peiwen Cai
1 citations
Cell Reports Methods
Genomics and Phylogenetic Studies
0.23
article

Microsynteny is a powerful front for microbial strain tracking

Tal Korem, Peiwen Cai
article en
1 citations

Abstract

Genomic diversity within species can be driven by both point mutations and larger structural variations, but so far, strain-tracking approaches have focused mostly on the former. In a recent issue of Nature Biotechnology, Ley and colleagues<sup>1</sup> introduce SynTracker, a tool designed for scalable strain tracking with microsynteny in low-coverage metagenomic settings.

Cell Reports MethodsVol. 4(9)
Columbia University Irving Medical Center (US), Columbia University (US)
Openalex Percentile: Top 42%
Genomics and Phylogenetic Studies
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.